Book Description
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.
Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.
The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided. For many students and researchers learning to use these methods, this one book may be all they need to conduct and interpret multipredictor regression analyses.
The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992).
From the reviews:
"This book provides a unified introduction to the regression methods listed in the title...The methods are well illustrated by data drawn from medical studies...A real strength of this book is the careful discussion of issues common to all of the multipredictor methods covered."
Journal of Biopharmaceutical Statistics, 2005
"This book is not just for biostatisticians. It is, in fact, a very good, and relatively nonmathematical, overview of multipredictor regression models. Although the examples are biologically oriented, they are generally easy to understand and follow...I heartily recommend the book"
Technometrics, February 2006
"Overall, the text provides an overview of regression methods that is particularly strong in its breadth of coverage and emphasis on insight in place of mathematical detail. As intended, this well-unified approach should appeal to students who learn conceptually and verbally."
Journal of the American Statistical Association, March 2006
Customer Reviews:
very good book, compact but comprehensive.......2007-05-12
This book covers a wide range of topics in Biostatistics, in a comprehensive, but not overwhelming way. In my opinion this book has the potential of being useful to a broad audience, from Statisticians to other professionals who do health related research.
Excellent book ..........2007-01-09
A very specific book, with a lot of details for a statistitian
Book Description
Statistics for the Life Sciences presents the key concepts of statistics as applied to the life sciences, while incorporating tools and themes of modern data analysis. The book emphasizes interpretation of results using real data, which facilitates an understanding of statistics and data through the use of graphical data and analysis.
The Third Edition has added many new sections to cover probability rules, random variables, the Wilcoxon Signed-Rank Test, and two-way ANOVA and ANOVA for randomized blocks designs. In addition, there is expanded treatment of logistic regression in Chapter 12.
This book is an essential statistics reference for professionals and scientists in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.
Customer Reviews:
Disappointed.......2007-05-05
I am personally disappointed with this book for the following reasons:
1) Most math books have the answers in the back for nearly all of the odd programs; this book does not. In fact, there's little rhyme or reason for the answers listed in the back. In short, most odd problem answers are not listed yet some of the even answers are given. Go figure..
2) I don't care for the chapter and section layouts. In my calculus text, everything is more developed. In some of the better texts, definitions are given before the explanations are given, which in turn precedes the examples given. This book does not of that. There is not a comprehensive list of definitions at the end of the chapter, the in-chapter definitions are weak, and they fail to fully develop the material before jumping into examples, etc.
But, it is a textbook and it costs > $100, so by publisher standards, it is a home run.
definitely oversimplified........2006-12-28
I took an AP statistics course in high school that went into much better detail than this book ever did. With this book I could not have made it out with the understanding I currently have of statistics without having taken that class years ago. Our instructor was pretty much incompetent, so it was a true test of how well the textbook got the job done. I watched my classmates really struggle with this book. The problem is that the concepts of different test statistics and what they actually mean are too oversimplified. The book does a great job of teaching how through an extensive amount of examples, but not why, and not enough instances or explanations of what should be done when problems deviate from the given example. It is really important in statistics to know how to handle different kinds of data and which tests to apply to them, but the book in my opinion did a poor job of distinguishing and explaining the different types of tests, as well as how the results should be analyzed. I would definitely recommend looking elsewhere for a good statistics textbook. When it comes to mathematics, theory (knowing why a problem is solved the way it is and why it works) is just as important as being able to correctly solve the problem.
Book better than class........2006-12-20
This textbook was required for my statistics class at the University of Wisconsin. I found the book easier to follow with better examples than my lecture was. Often I cannot learn anything right from the book, but this book made it easy with complete examples and simple descriptions of variables and theory. The book was so good, in fact, I rarely made it to class because I learned it better from the book!
Oversimplified.......2006-09-07
The book is reasonably good at explaining simple concepts.
However, the lack of detail does not allow for real life application in a biological field: the concepts are oversimplified and the examples given do not reflect the difficulty of actual basic statistics work in the life sciences.
If you want to buy this book, the questions you should ask yourself are:
1. Are you buying this book just to pass a basic statistics course?
2. Are you buying this book to expand your point of view and understanding of real life applications?
An excellent textbook that teaches by example.......2003-04-17
In a word - wow. This is an outstanding textbook for undergraduate biology students. The number of practical, real life examples exceeds anything else I have seen in a statistics book, permitting the student to follow theory immediately with concrete practice. Examples are drawn from all axes of biology as well - physiology, biogeochemistry, pharmacology, microbiology, animal behaviour and more. I have been disappointed with previous textbooks which fall down in the following ways: 1) too much emphasis on the mathematics of calculation, or 2) lack of practical introductory treatment of moderately advanced topics which are nonetheless necessary to practitioners. This book for me strikes a very good balance between understanding the underpinnings without getting lost in equations, and getting your hands dirty with data in order to learn by example. Coverage is as wide as necessary today: introduction to logistic regression, and a clear treatment of interaction in two-way ANOVA. I do note that multiple regression is not touched. The sole drawback: sticker shock. It will be difficult for students to pay for a book that costs about $100 US. But at least you get what you pay for in this case.
Book Description
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The text avoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.
Customer Reviews:
Clear, rigorous, fascinating.......2007-01-20
I'm a Ph.D. student in biophysics. This is the best treatment of systems biology that I've encountered. It treats both the math and the biology with clarity, rigor, and respect. It simplifies without dumbing down. It's beautifully written. If you doubt that systems biology is a real scientific discipline, this book will change your mind.
Building Mathematical Models of Cells.......2006-09-25
The history of science over the past few centuries is to become ever more specialized. The physicists, becomming ever more concerned with the very large (stars, galaxies, the cosmos) or the very tiny (first atoms, then atomic components, now sub-components. The biologists on the other hand were studying much larger things, such as the cells that make up life. Both sciences developed techniques to facilitate their study.
In recent years, researchers have discovered that sometimes these specialized techniques can be used to develop greater insight into what is happening in other sciences.
In this book, Dr. Alon uses his training in physics to examine certain aspects of biology and to use the terminology and mathematics to describe the way these biological networks work.
The goal of the book is to begin the formulation of general laws that apply to biological networks. This is done by providing a mathematical framework in which some of the design principles of biological systems can help to understand biological networks. In looking at the results, an underlying simplicity not seen before appears in biological systems.
Great Job.......2006-09-09
A superb intro to the field. The math is moderate and helpful. Network concepts and their ties to examples and theory are clearly and succinctly presented. This is a textbook but reads easily like a book. Covers key elements while connecting them by at least mention to up-to-date further research. The basics and the grandeur of systems biology. I am trying to remember now anything on the negative side and cannot.
Average customer rating:
- Complicated language
- Principles of Biostatistics
- Hope this suggestion helps u decide
- Biostatistics simplified
- Great book - one of few!
|
Principles of Biostatistics (with CD-ROM)
Marcello Pagano , and
Kimberlee Gauvreau
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ASIN: 0534229026 |
Book Description
Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life.
Customer Reviews:
Complicated language .......2007-09-29
The language in this book is very hard to understand. I took statistics when I was an undergrad and but this book is so hard to understand. The authors tried to show more steps in the math examples maybe try to make it easier for the reader but it just make it MUCH more complicated to follow. Sometimes I have to read my undergrad statistics book in order for me to understand the same thing it says in this book.
Principles of Biostatistics.......2007-09-19
This book does not give step-by-step instructions on how to solve problems. Therefore, I feel it is not a good book. I still feel very lost after reading chapters in this book.
Hope this suggestion helps u decide.......2007-09-09
This is my first time that I purchased online. I got the book within 3 days and it's in a good condition. Cheaper, got a book, and on time...isn't it enough?
Biostatistics simplified.......2007-06-27
Much easier to grasp than another text on the subject that I have experienced, (Biostatistics... A foundation for anlaysis in the Health Sciences; 8th Edition. Wayne W. Daniel). I am an MPH student with limited math background. Had a 4.0 going before my first experience with biostats. A "D" won't cut it in the program I am completing. Found an alternative Biostats course and the required text,(Principles of Biostats;Marcello Pagano), is much, much, easier for me to grasp. The real world examples and simplified methods make for an easier comprehension for those of us who lack a strong mathematic prerequisite.
Great book - one of few!.......2007-03-23
I've read the other reviews, and seems either you love it or hate it. I used this at Harvard School of Public Health on my 3rd time through bio-statistics (college, med school, MPH). Only this time I got it right, and think it was the balance between some non-calculus theory and practical examples in this book. Not understanding probability distributions at all leads to misapplication, and misuse. I have frequently turned to this as "tune-up book" if I've been away too long. The exercised sets are helpful and "realistic"; however, I do understand the problem with text-books and teacher's manuals that give only 1/2 the answers.
Average customer rating:
- Lacking in going from abstract to application
- Finite Mathematics for Business Economics, Life Sciences and Social Sciences (10th Edition)
- NOT USER FRIENDLY!
- Sound choice for a finite math textbook
- Many exercises in economics, life and the social sciences
|
Finite Mathematics for Business Economics, Life Sciences and Social Sciences (10th Edition)
Raymond A. Barnett ,
Michael R. Ziegler , and
Karl E. Byleen
Manufacturer: Prentice Hall
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The Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms (2nd Edition)
ASIN: 0131139622 |
Book Description
Designed to be accessible, this book develops a thorough, functional understanding of mathematical concepts in preparation for their application in other areas. Coverage concentrates on developing concepts and ideas followed immediately by developing computational skills and problem solving.
This book features a collection of important topics from mathematics of finance, linear algebra, linear programming, probability, and statistics, with an emphasis on cross-discipline principles and practices.
For the professional who wants to acquire essential mathematical tools for application in business, economics, and the life and social sciences.
Customer Reviews:
Lacking in going from abstract to application.......2007-09-23
This review is for the 11th edition of the book. I am using this for a business math course and overall the book is lacking. Many of the examples presented in the chapters are simplistic and have no relation to the difficulty of the application examples. It's unfortunate that the solutions manual while containing the solutions to the examples does not go into more detail in how to solve these type of problems. While it appears the authors goal is to go from abstract to application, he misses the mark. I find myself consulting external resources for almost every chapter. Not recommended.
Finite Mathematics for Business Economics, Life Sciences and Social Sciences (10th Edition).......2005-09-17
They sent me the wrong book. I ordered the Finite Mathematics for Business Economics, Life Sciences and Social Sciences (10th Edition)by Raymond A. Barnett and received the solution manual. I feel very disapointed with this purchase.
NOT USER FRIENDLY!.......2005-09-08
I am using this textbook for my Math for Business and Economics class and it is terrible. This book is not written taking into consideration the audience "Business Majors". Concepts are better explained in the Chapter review than under the sections they are being presented. There is only 1 example for each new concept and definitions are written using one or two definitions of new concepts within it. If this book is intended to take the student from the abstract concept to the real world it sure doesn't do this. I understood the material better in my Intermediate Algebra class than I do now.
Sound choice for a finite math textbook.......2004-06-27
This is a very sound choice as a textbook for a course in finite mathematics. The coverage is appropriate, the level suitable for the non-math major, the explanations are excellent and the authors take the title seriously.
The topics are covered in the following order:
* Elementary functions and their graphs.
* The mathematics of finance.
* Matrices and systems of linear equations.
* Linear inequalities and linear programming.
* Logic, set theory and basic counting.
* Probability and probability distributions.
* Basic game and decision theory.
* Markov chains.
There are many exercises and at the end of each section there is a set of basic exercises followed by a collection of applied problems. The set of applied problems is split into three categories: business & economics, life sciences and social sciences. Since finite mathematics is often a preparation for students to work in these fields, this format is what impressed me the most. With all of these "real world" problems to work as part of their study, no student using this book could ever legitimately say that they see no purpose to their studies. Solutions to the odd-numbered problems are included.
I came into contact with this book after my choice of textbook was irrevocable. Had I seen it earlier, it would have been the one I used.
Many exercises in economics, life and the social sciences.......2004-06-26
This is a very sound choice as a textbook for a course in finite mathematics. The coverage is appropriate, the level suitable for the non-math major, the explanations are excellent and the authors take the title seriously.
The topics are covered in the following order:
* Elementary functions and their graphs.
* The mathematics of finance.
* Matrices and systems of linear equations.
* Linear inequalities and linear programming.
* Logic, set theory and basic counting.
* Probability and probability distributions.
* Basic game and decision theory.
* Markov chains.
There are many exercises and at the end of each section there is a set of basic exercises followed by a collection of applied problems. The set of applied problems is split into three categories: business & economics, life sciences and social sciences. Since finite mathematics is often a preparation for students to work in these fields, this format is what impressed me the most. With all of these "real world" problems to work as part of their study, no student using this book could ever legitimately say that they see no purpose to their studies. Solutions to the odd-numbered problems are included.
I came into contact with this book after my choice of textbook was irrevocable. Had I seen it earlier, it would have been the one I used.
Average customer rating:
- THE Biometry textbook of choice
- The Standard Introductory Textbook on Biostatistics
- Very good book
- My Bible
- Excellent self-tutorial
|
Biometry
Robert R. Sokal , and
F. James Rohlf
Manufacturer: W. H. Freeman
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Customer Reviews:
THE Biometry textbook of choice.......2007-08-20
I use this as a personal reference. Have examined many dozens of statistics books and this is the Bible, as far as I am concerned. It is clear, has excellent coverage, and is actually written engagingly! If you are going to have only one statistics book--it should be this one.
The Standard Introductory Textbook on Biostatistics.......2007-05-07
"Biometry" should be regarded - if it isn't already - as the standard practical guide to both parametric and nonparametric univariate biostatistics. Although it is aimed primarily for researchers and students in the biological sciences and medicine, there are ample practical examples which should be useful to those in psychology, sociology and other fields where knowledge of statistics and statistical methods is quite essential. I own a copy of the second edition, which I've had for more than two decades, regarding it as my "go-to" book if I have questions about various univariate statistical techniques. As another reviewer has noted, this book is especially strong in discussing nonparametric statistics. I might add too that it is quite good in discussing tests of significance related to Analysis of Variance (ANOVA) and simple linear regression. Much to their credit, the authors have written a superb text in clear, often concise, English that could be used as a self-teaching introductory guide for a practical understanding of univariate biostatistics. However, I will note that those interested in learning the theoretical foundations of the parametric and nonparametric univariate biostatistics covered in "Biometry" should consult another book which does emphasis these topics: Zarr's "Biostatistical Analysis", which I agree is a superb introductory text on theoretical biostatistics.
Very good book.......2006-11-04
The product is in very good condition. The cover was without any damage as was the inner.
My Bible.......2006-10-10
I used this book in grad school as my textbook and constantly use it now in my job as a six sigma black belt.
Examples are excellent.
Excellent self-tutorial.......2002-10-04
The book is based upon biostatistics courses taught by the authors. It is designed to be used as a self-tutorial if so desired. The explainations and examples are excellent.
Average customer rating:
- Deceptive
- An original approach. An excellent book on the subject.
- Hey, I got an A in Biostats I
- YES! I could speak and ask questions at journal club without looking like a fool.
- Excellent Statistics Book
|
Intuitive Biostatistics
Harvey Motulsky
Manufacturer: Oxford University Press, USA
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Binding: Paperback
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ASIN: 0195086074 |
Book Description
Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves. Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression. By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work. In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals.
Customer Reviews:
Deceptive.......2007-08-10
If you think you can learn Statistics intuitively and without mathematics or in otherwords the easy way, I have an intuitive Brain Surgery book for sale.
An original approach. An excellent book on the subject........2007-06-13
The majority of reviewers really liked this book. I can see why, I did too. The author uses a unique approach to teaching statistics that is focused on calculating and explaining Confidence Intervals (the minimum and maximum value you expect an outcome to be given a confidence level typically 95%) rather than P values (probability outcome is due to chance). He also uses common sense and clearly distinguishes between what is statistically significant and what is "significant." Thus, he translates well statistical mumbo jumbo into plain English. He tells you what you should care about and look for.
He shares with you all the statistical flaws that clinical studies may have including testing multiple hypothesis to come up with just a single statistically meaningful one, using large samples to prove something trivial, using small samples that raises uncertainty level, etc...
His section on Bayesian Logic is excellent. His table on what test or methodology to use given the shape of the data and objective you have is worth the price of the book alone. That's one of the clearest taxonomy of statistical methods I have seen anywhere.
Some knowledgeable reviewers have picked up a few errors the author made. I stumbled upon a couple while attempting to replicate the calculation of a few examples. I emailed the author and each time within an hour he either clarified the calculation or corrected the typo that was present in the book. Given his prompt answers, I can't ding him for the couple of typos I caught.
Although the author presents this book as an introductory one, I recommend the reader acquires a good foundation in basic statistics before studying this book. Forgotten Statistics would fit that bill. Indeed, `Intuitive Biostatistics' covers a huge amount of ground. It is far more than an introductory text. It covers material that is pretty advanced including nonparametric hypothesis tests, non linear regression, logistic regression, Bayesian analysis, etc... If it is the first time you come across that stuff you'd be well served having a solid stats foundation. Given that, this book has a lot to offer. I'll keep it as a great reference for years.
Hey, I got an A in Biostats I.......2007-01-04
I am not a high faltuin' math person, the calculus I went through in undergrad was a struggle and I remember very little. I am a chemist by training, currently seeking my PhD in Public Health while working full time. What that came down to was little to no time to doof around with a muddled textbook or an equally muddled professor or a non-English speaking Teacher's Assistant.
I have no intention of becoming a biostatistician or an epidemiologist, I am interested in policy.
So coming from that perspective, as a student, this book was an absolute God-send.
Not only did I get an A in the class, but I feel like I have a sturdy foundation for my future coursework and career. I will not be intimidated by numbers or jargon because Dr. Motulsky made it all as straightforward and clear as possible, and I recall even laughing a few times.
Overall, if you are in school, facing a biostatics class with extreme trepidation, buy this book as a supplement. Look up the topics in the index as you go and you will have more than the $40 worth of "eureka" moments.
YES! I could speak and ask questions at journal club without looking like a fool........2006-09-25
Helped me from looking a fool during residency. Thank you Harvey!
Excellent Statistics Book.......2006-03-13
Intuitive Biostatistics takes a confidence interval approach that should be required reading for all persons interested in statistics. His discussion of basic statistical concepts in the context of interpreting lab test results is clear and informative and introduces the reader to Bayesian concepts that are presented very simply.
Book Description
Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the needs of students taking introductory courses that cover these topics. It will also be useful to clinicians and policymakers who need to understand the quantitative underpinnings of the methods in order to best apply the information that derives from them. The second edition of this popular book adds new material on cumulative meta-analysis as a method to explore heterogeneity. The coverage of cost-effectiveness analysis has been brought into close alignment with recommendations of the U.S. Public Health Panel on Cost-Effectiveness Analysis in Health and Medicine. Many of the examples have been replaced with more current examples, and all of the material has been updated to reflect recent advances in the methods and the emergence of consensus about some previously controversial issues. analysis. These three closely related methods have become even more important for synthesizing research since the first edition was published in 1994. And they have gained legitimacy as tools for guiding health policy.
Customer Reviews:
Best guide for analysis.......2006-12-20
There are several ways to do analysis of the health care industry but this book covers the big three. Cost Effectiveness is the most useful from a business standpoint. This book covers the math and theory behind each of these methods and gives strong arguments for how to write in each of them. As a health and pharmaceutical economist I found this book to be invaluable. It is written very clearly and helps sort through many of the issues especially meta analysis. If you are starting out in the health analyst field this is a must read and a book you will want to have handy at all times.
An excellent introductory text.......2002-02-05
Meta-analysis, as both an applied and theoretical science, continues to develop from its rather humble beginnings. Since most physicians lack a strong background in quantitative science, rigorous statistical approaches to clinical decision making have been slow to gain widespread support. Despite its limitations, meta-analysis is proving to be an important vehicle for making sense of the increasingly overwhelming amount of published data in the biomedical sciences. Petitti's book goes a long way in demystifying meta-analysis for the rank and file and also serves as an excellent introduction to the field for the more statistically literate.
Most of my own work is in meta-analysis and I bought the book exclusively for this content and not information on decision analysis and cost-effectiveness analysis. I do not mean to minimize the importance of the latter but rather point out my own narrow interest in the Petitti text.
The book is well written and concise. Petitti "cuts to the chase" explaining the theory underlying meta-analytic methods and provides many useful examples from the medical literature. The text is easy to follow, understandable and well balanced. A thorough reading should leave the reader well prepared for further exploration of applied meta-analysis as well as capable of articulating its strengths, weaknesses and future direction.
Overall, Petitti's text is an excellent place to start for those interested in learning the fundamentals of "research synthesis". The book is also an extremely handy references for the more experienced practitioner. I highly recommend it.
clearest yet description this topic.......1997-07-08
In a forest of mirky and arcane descriptions of a field that has come to dominate medical research and policy making, this book stands out for its clarity. Dr. Petitti speaks a language that normal people can understand. She avoids jargon and frequently uses quantitative examples that make it easy to plug in your own problems and directly apply her lessons to your tasks. This is easily the best book in print on this topic
Book Description
A comprehensive user-friendly introduction to biostatistics and epidemiology applied to medicine, clinical practice, and research. Features “Presenting Problems” (case studies) drawn from studies published in the medical literature, end-of-chapter, and a CD-ROM with data sets and statistical software programs.
Customer Reviews:
Try another book.......2007-09-01
I had to purchase this book for a class I am taking. This is a fourth edition book and I have to correct errors before reading each chapter. I give publishers some leeway on a first edition, but by the fourth the kinks should be worked out. Also, there is some crucial information missing when making the calculations and sometimes it does not give enough detail on how to work through the problems.
Basic and Clincial Biostats, Scientific Perspective.......2007-06-28
The book is very detailed and an excellent read and resource for anyone who is in the field of science and someone who reads scientific peer-reviewed journal articles. Though there were some errors in some calculations in the book, overall, it is very helpful and a great way to learn biostatistics and applications in the clinical setting and research settings.
definitely not helpful for 'basic' or introductory level.......2007-04-08
I have very little background in biostats, and need to learn it for medical research and research design.
This book is difficult to read, has far too much emphasis on mathematics and far too little empahisis on concept. After a whole quarter in Biostats using this book, I can tell you very little about how and when to employ certain basis statistics tests or interpret them with confidence. The answers in the back are ofter erroneous, as is some of the text (according to my professor).
The only thing I can seay that is good about this test is that the NCSS software that comes with it I think may be helpful at some point.
I am back in the market for a better book!
Good Primer.......2005-08-18
I bought this book in 1990 (an older version) and have never had a statistics course. I have found it to be an extremely helpful starting point for the application of statistical tests to biomedical problems. From this I have gone on and used more sophisticated tools for computation and have only rarely needed to seek out the advice of experts.
The book is packed full of information and covers the broad range of problems most often encountered in biomedical science. It emphasizes an understanding of the choice an appropriate test for a given problem. Flow charts also help guide the user to the right test and the correct chapter. For this reason I have come back to it repeatedly over the years and it has become well worn. It is sparse on explanation of the statistical or mathematical proofs of methods so it is more of a cookbook than as a theoretical treatise.
Pretty Good.......2004-08-19
I actually thought this book was pretty good. I haven't used the cd. The definitions are pretty clear. I use this in conjunction with Gordis' Epidemiology for quick review. I find Rothman and Greenland is not good for that. When I am thinking about research design and elements of statistical analysis this book is easy to turn to to just go over why one test may be better than another--I am a medical student with an MPH in epi who has worked on several research projects, and I think this book is pretty helpful as a simple aid in the transition from research assistant to co-investigator.
Average customer rating:
- Calculations are only as good as your numbers
- Pants on fire?
- Accepted History & Chronology Must Be Changed.
- Very Interesting
- History as Science Fiction
|
History: Fiction or Science? (Chronology, No. 1)
Anatoly Fomenko
Manufacturer: Mithec
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Similar Items:
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History: Fiction or Science? Chronology 2 (Chronology)
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History: Fiction or Science? Astronomical methods as applied to chronology. Ptolemy's Almagest. Chronology III
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Discovering the Mysteries of Ancient America: Lost History And Legends, Unearthed And Explored
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They Cast No Shadows: A Collection of Essays on the Illuminati, Revisionist History, and Suppressed Technologies
ASIN: 2913621058 |
Book Description
Recorded history is a finely-woven magic fabric of intricate lies about events predating the sixteenth century. There is not a single piece of evidence that can be reliably and independently traced back earlier than the eleventh century. This book details events that are substantiated by hard facts and logic, and validated by new astronomical research and statistical analysis of ancient sources.
Customer Reviews:
Calculations are only as good as your numbers.......2007-08-03
Yes, we can all agree that mainstream history is nearly 100% BS due to politics, economics, ego, problems with dating techniques, and various conspiracies. Agreed. But, I've been researching the distinct possibility that human history (in terms of civilizations) are much more ancient than we've been told, so coming across this book was very interesting to me. I wondered how Fomenko could be wrong (if at all) because he is very persuasive in his presentations. Then it dawned on me. If at previous times in prehistory, due to the various catastrophies that are well documented (comets, asteroids, planetary disruptions, plasma discharge, pole reversals, etc) the Earth was in a different position in relation to the sun, different tilt on its axis, different orbit, different rotation (in terms of velocity and DIRECTION), and the continents were in different positions, then would this not cause the ancients to see the sky (constellations) differently? In other words, is Fomenko making erronious assumptions about the physics of the Earth in pre-history, which then corrupt his data with regards to dating the relevant astrology? The last event to seriously disrupt our planet occured roughly 3500 years ago, according to other good researchers, so is it possible Fomenko has been confused by this? The vastly different physics of our planet in the not so distant past may explain this confusion, which is not to say the "mainstream" version of history is correct; on the contrary. I am not an expert in these fields, but wanted to see if this idea could spark discussion.
Pants on fire?.......2007-07-19
Will people ever read before spamming? Yes, Jesuits could not rewrite world history alone, they had help. Anyway, Dr Prof Acad A.Fomenko does not point to jesuits as the driving force of world wide history manipulation in published volumes 1,2,3;, actually he barely mentions the poor devils. Check it with 'Search inside' feature, please. China is rarely mentioned either, in fact, Dr Fomenko is completely eurocentric. Right, his theory contradicts all mainstream schools of history, because in their actual state they are all built on blatantly erroneus chronology. You don't need a mysterious cabal (conspiracy) to falsify history, the falsification is its modus operandi. It is inherent to history(ians) to falsify (distort) events, as it is inherent to humans to boast as it is inherent to power (authority) to legimize itself by referrring to glorious past made to its own order. Dr Prof Fomenko and team have identified scores of instances of such manipulation in Russian, European, etc.. history, and delivered valid statistical proof thereof. His own 'reconstruction' is completely another story. Forget c14 as a valid method of dating. W.Libby has initially discovered a brilliant method of INDEPENDENT dating. Too bad, c14 method has become a joke after a forced marrige with dendrochronology with consensual chronological scale inbuilt. Radiocarbon method can't stand blind tests, but is so very productive as a rubberstamp.
Accepted History & Chronology Must Be Changed. .......2007-04-09
There is no doubt that history as most know it is a sham, & institution's version of History both University & Church is fradulent & inaccurate. Everything was established with an agenda, The real "Dark Ages" are now when we have access to incredible amounts of information past authorities & more important 'common folk' didn't have but our institutions & educators are slow to evolve because of what has ignorantly & arrogantly been taught for too long. This is on many subjects not just Chronology.
For anyone to question "Why would a Mathematician have anything credible to say of History?" The answer is from Dr. Fomenko's preface in the book: "It would be worthwhile to remind the reader that in the XVI-XVII century Chronology was considered to be a subdivision of Mathematics." These volumes could possibly be some of the most important works to date & should be read by everyone with an interest in History, especially professors & educators who have a duty to the public. I have read both books & must say that 'Chronology 1' has some very eye opening & revolutionary information. Even if these volumes are part true the implications are profound & opens the doors to further investigations & questions which must be done. I speak several different lanquages & must say the logic Dr. Fomenko uses with "inflection" of words & words being read from left to right in one region & right to left in another then written backwards, the removal of vowels & get down to basics of words, or different cities & locations having the same name etc. is correct. Vowel usage has always been optional & varied, actually complicating linquistics & study. The first thing one has to understand is that words never had a fixed spelling in history like we do now, the spelling of words was mutable & regional, as well as names & titles of people were vast, varied & changed, NOTHING WAS FIXED or understood linear. Matters of Life & Death as well as financial profiteering yesterday & today were & are made with ignorant, illogical & conspiratorial views of history & reality, it's time people get closer to the Truth & society collectively grow up.
Very Interesting.......2007-03-07
It is a good proposal and I believe it will mature into something even better in the future. I think it deserves to be read.
History as Science Fiction.......2007-01-10
Anatoly Fomenko has written a very intriguing book, full of pictures, charts, and computer 'proof' of his thesis: backwards of AD900 we don't really know what happened or when. Between AD900 and AD1600 there is more certainty, but there is still a lot of fuzzy ground, and things don't get reliable until we get past the 1600's where the printing press made it very difficult for the perpetrators of this timeline manipulation to change anything that had been committed to print. The Dark Ages did not happen. Books were burned for a reason. One organization has doubled the actual length of its existence by expanding the real chronology. Read why.
I had always wondered why Christ died about AD33 and yet men waited until the 11th century to form the Knights Templar, the Cathars, etc and go after the Holy Land by force. Why the 1000 year gap? Turns out there wasn't more than a 10-12 year gap and he proves it using astronomy. This also implies that the planet is not as old as we have been told, and current Christian and other creationist scientists are already championing that idea without being aware of Fomenko's book. The two groups, creationist scientists and the Russian mathematical analysts corroborate each other. Fascinating.
Of course, all this flies in the face of what we have been told traditionally is the 'proper' chronology of western civilization, and most readers will experience 'cognitive dissonance' in reading this book. It means that our history going backwards from AD1600 becomes progressively more incorrect and unreliable until it cannot be trusted at all... in the space of 700-800 years.
Naturally, the curious, open-minded reader will want to know WHO did this, WHY, and did any of the events we think of as really ancient ever happen?
Dr. Fomenko is a respected scientist/mathematician at Moscow State University who has already answered these questions to the satisfaction of his initially skeptical colleagues. Most of them are now believers, a few still refuse to believe (the usual diehards), and of course the western press has ignored Fomenko's work -- for obvious reasons when you read the book. The ones who perpetrated this chronology ruse have a lot to answer for. They are still with us. That's why this book is a well-kept secret.
I gave the book a 4-star rating because I was unable to check out some of his claims; those I checked were as he said. But if even 1/3 of his claims are true, this punches a big hole in what we think is our history, the meaning of western civilization, our educational process (for repeating the ruse as gospel), and the trustworthiness of the organization that perpetrated this ruse, well-intentioned or not.
This book relates to current research into a Young Earth paradigm, to John Keel's discoveries about our planet, and Fr Malachi Martin's insights (in his now out-of-print books). We are indeed sheep who are manipulated and kept ignorant -- for a reason. While knowing what these men have to say may be the "booby prize" (as in: 'what can you do with this knowledge?'), it will provide interesting reading. Didn't someone say: "...and the Truth will set you free."?? For you to judge if this book contains the truth.
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