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Primer of Applied Regression & Analysis of Variance
Stanton A. Glantz , and Bryan K. Slinker Manufacturer: McGraw-Hill Medical ProductGroup: Book Binding: Hardcover Similar Items:
ASIN: 0071360867 |
Book Description
Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).Customer Reviews:
Outstanding.......2006-01-31
The best second book of statistics for biologists........2000-11-13
This book also has excellent chapters on linear regression, nonlinear regression (curve fitting) and logistic and proportional hazards regression (regression when the outcome is an either-or binary variable).
New to the second edition are a chapter on analysis of covariance, more extensive discussions of multiple comparisons methods, and a discussion of Cox proportional hazards regression for analyses of survival data.
The title is a bit misleading. This is not a "primer" of statistics. But once you've learned the basic principles of statistics, this is THE book for biologists to learn about various kinds of ANOVAS and regressions.
The best advanced statistics book for biologists.......1998-05-30
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Primer of Biostatistics
Stanton A. Glantz Manufacturer: McGraw-Hill Medical ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 0071435093 |
Book Description
Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the author’s unique and intuitive approach to the subject. The new edition features a new two-color design, examples taken from current biomedical literature, and review questions within each chapter.Customer Reviews:
Best stats book out there without the errors of the 6th edition.......2007-05-07
Statistics in plane english........2006-07-05
good material, too many errors.......2006-05-02
Non-mathematical introduction to biostatistics.......2006-03-30
Lots of mistakes in this book.......2003-11-13
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Basic Statistics: A Primer for the Biomedical Sciences
Olive Jean Dunn , and Virginia A. Clark Manufacturer: Wiley-Interscience ProductGroup: Book Binding: Hardcover Similar Items: ASIN: 0471354228 |
Book Description
An introduction to the use of statistics in biomedical research-now fully updated for the information age
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Biostatistics and Epidemiology: A Primer for Health and Biomedical Professionals
Sylvia Wassertheil-Smoller Manufacturer: Springer ProductGroup: Book Binding: Paperback Similar Items:
Accessories:
ASIN: 0387402926 |
Book Description
Contents
Preface To The Third Edition
Acknowledgments
Chapter 1. The Scientific Method
1.1 The Logic of Scientific Reasoning
1.2 Variability of Phenomena Requires Statistical Analysis
1.3 Inductive Inference: Statistics as the Technology of the Scientific Method
1.4 Design of Studies
1.5 How to Quantify Variables
1.6 The Null Hypothesis
1.7 Why Do We Test the Null Hypothesis?
1.8 Types of Errors
1.9 Significance Level and Types of Error
1.10 Consequences of Type I and Type II Errors
Chapter 2. A Little Bit Of Probability
2.1 What Is Probability?
2.2 Combining Probabilities
2.3 Conditional Probability
2.4 Bayesian Probability
2.5 Odds and Probability
2.6 Likelihood Ratio
2.7 Summary of Probability
Chapter 3. Mostly About Statistics
3.1 Chi-Square for 2 x 2 Tables
3.2 McNemar Test
3.3 Kappa
3.4 Description of a Population: Use of the Standard Deviation
3.5 Meaning of the Standard Deviation: The Normal Distribution
3.6 The Difference Between Standard Deviation and Standard Error
3.7 Standard Error of the Difference Between Two Means
3.8 Z Scores and the Standardized Normal Distribution
3.9 The t Statistic
3.10 Sample Values and Population Values Revisited
3.11 A Question of Confidence
3.12 Confidence Limits and Confidence Intervals
3.13 Degrees of Freedom
3.14 Confidence Intervals for Proportions
3.15 Confidence Intervals Around the Difference Between Two Means
3.16 Comparisons Between Two Groups
3.17 Z-Test for Comparing Two Proportions
3.18 t-Test for the Difference Between Means of Two Independent Groups: Principles
3.19 How to Do a t-Test: An Example
3.20 Matched Pair t-Test
3.21 When Not to Do a Lot of t-Tests: The Problem of Multiple Tests of Significance
3.22 Analysis of Variance: Comparison Among Several Groups
3.23 Principles
3.24 Bonferroni Procedure: An Approach to Making Multiple Comparisons
3.25 Analysis of Variance When There Are Two Independent Variables: The Two-Factor ANOVA
3.26 Interaction Between Two Independent Variables
3.27 Example of a Two-Way ANOVA
3.28 Kruskal-Wallis Test to Compare Several Groups
3.29 Association and Causation: The Correlation Coefficient
3.30 How High Is High?
3.31 Causal Pathways
3.32 Regression
3.33 The Connection Between Linear Regression and the Correlation Coefficient
3.34 Multiple Linear Regression
3.35 Summary So Far
Chapter 4. Mostly About Epidemiology
4.1 The Uses of Epidemiology
4.2 Some Epidemiologic Concepts: Mortality Rates
4.3 Age-Adjusted Rates
4.4 Incidence and Prevalence Rates
4.5 Standardized Mortality Ratio
4.6 Person-Years of Observation
4.7 Dependent and Independent Variables
4.8 Types of Studies
4.9 Cross-Sectional Versus Longitudinal Looks at Data
4.10 Measures of Relative Risk: Inferences From Prospective Studies: the Framingham Study
4.11 Calculation of Relative Risk from Prospective Studies
4.12 Odds Ratio: Estimate of Relative Risk from Case-Control Studies
4.13 Attributable Risk
4.14 Response Bias
4.15 Confounding Variables
4.16 Matching
4.17 Multiple Logistic Regression
4.18 Confounding By Indication
4.19 Survival Analysis: Life Table Methods
4.20 Cox Proportional Hazards Model
4.21 Selecting Variables For Multivariate Models
4.22 Interactions: Additive and Multiplicative Models
Summary:
Chapter 5. Mostly About Screening
5.1 Sensitivity, Specificity, and Related Concepts
5.2 Cutoff Point and Its Effects on Sensitivity and Specificity
Chapter 6. Mostly About Clinical Trials
6.1 Features of Randomized Clinical Trials
6.2 Purposes of Randomization
6.3 How to Perform Randomized Assignment
6.4 Two-Tailed Tests Versus One-Tailed Test
6.5 Clinical Trial as "Gold Standard"
6.6 Regression Toward the Mean
6.7 Intention-to-Treat Analysis
6.8 How Large Should the Clinical Trial Be?
6.9 What Is Involved in Sample Size Calculation?
6.10 How to Calculate Sample Size for the Difference Between Two Proportions
6.11 How to Calculate Sample Size for Testing the Difference Between Two Means
Chapter 7. Mostly About Quality Of Life
7.1 Scale Construction
7.2 Reliability
7.3 Validity
7.4 Responsiveness
7.5 Some Potential Pitfalls
Chapter 8. Mostly About Genetic Epidemiology
8.1 A New Scientific Era
8.2 Overview of Genetic Epidemiology
8.3 Twin Studies
8.4 Linkage and Association Studies
8.5 LOD Score: Linkage Statistic
8.6 Association Studies
8.7 Transmission Disequilibrium Tests (TDT)
8.8 Some Additional Concepts and Complexities of Genetic Studies
Chapter 9. Research Ethics And Statistics
9.1 What does statistics have to do with it?
9.2 Protection of Human Research Subjects
9.3 Informed Consent
9.4 Equipoise
9.5 Research Integrity
9.6 Authorship policies
9.7 Data and Safety Monitoring Boards
9.8 Summary
Postscript A Few Parting Comments On The Impact Of Epidemiology On Human Lives
Appendix A. Critical Values Of Chi-square, Z, And T
Appendix B. Fisher'S Exact Test
Appendix C. Kruskal-wallis Nonparametric Test To Compare Several Groups
Appendix D. How To Calculate A Correlation Coefficient
Appendix E. Age-adjustment
Appendix F. Confidence Limits On Odds Ratios
Appendix G. "J" Or "U" Shaped Relationship Between Two Variables
Appendix H. Determining Appropriateness Of Change Scores
Appendix I. Genetic Principles
References
Suggested Readings
Index
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Statistical Ecology: A Primer in Methods and Computing
John A. Ludwig , and James F. Reynolds Manufacturer: Wiley-Interscience ProductGroup: Book Binding: Hardcover Similar Items: ASIN: 0471832359 |
Book Description
An accessible introduction to quantitative methods in community ecology, with related software. Provides a thoughtful overview on the nature of data collection, followed by detailed explanations of the major statistical techniques applied to problems in population dynamics. Presents important conclusions about the use (and abuse) of specific techniques. Examples include communities of both flora and fauna, prey-predator relations, the effects of food supply on populations, and species abundance and overlap models. Software includes several BASIC microcomputer programs which can be used with the examples provided or with other data sets.Customer Reviews:
Statistical Ecology, Tremendous Text, Poor Software.......1999-01-15
The book comes with a disk containing BASIC programs. This is of little help for individuals having win 95/98. The BASIC interpreter, mentioned in the primer, was terminated when Windows 95 replaced MSDOS as the OS for PCs.
So if you have win95/98 you are BASICally hosed.
I would suggest the authors correct the compatibility problem, or just not offer BASIC programs.
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Statistical Reasoning in Medicine: The Intuitive P-Value Primer
Lemuel A. Moye Manufacturer: Springer ProductGroup: Book Binding: Paperback Similar Items: ASIN: 0387989331 |
Book Description
Through careful, deliberate thought this book provides the nonmathematician with a foundation for understanding the underlying statistical reasoning process in clinical research. This volume recognizes the inevitable tension between the mathematics of hypothesis testing and the ethical requirements in medical research and concentrates on the resolution of these issues in P value interpretation. By presenting the material in a conversational format and consciously de-emphasizing computational devices and focusing instead on the features of experimental design that either clarify or blur P value interpretation statistical reasoning becomes extremely accessible to the uninitiated.
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A Primer for the Monte Carlo Method
Ilya M. Sobol Manufacturer: CRC ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 084938673X |
Book Description
The Monte Carlo method is a numerical method of solving mathematical problems through random sampling. As a universal numerical technique, the method became possible only with the advent of computers, and its application continues to expand with each new computer generation. A Primer for the Monte Carlo Method demonstrates how practical problems in science, industry, and trade can be solved using this method. The book features the main schemes of the Monte Carlo method and presents various examples of its application, including queueing, quality and reliability estimations, neutron transport, astrophysics, and numerical analysis. The only prerequisite to using the book is an understanding of elementary calculus.
Customer Reviews:
Proceed with Caution.......2001-06-30
Emphasis on PRIMER.......1999-01-05
A good introduction to random number simulation........1998-12-23
An excelent primer.......1997-11-11
Interesting, broad-gauge, practically oriented.......1997-06-25
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The Interpretation of Ecological Data: A Primer on Classification and Ordination
E. C. Pielou Manufacturer: Wiley-Interscience ProductGroup: Book Binding: Hardcover Similar Items: ASIN: 0471889504 |
Book Description
A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates these techniques using artificial data simple enough for every analytical step to be understood.
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Primer of Epidemiology
Gary D. Friedman Manufacturer: McGraw-Hill Professional Publishing ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 0070224544 |
Book Description
Written for physicians, medical students, and other health care professionals, this concise textbook explains epidemiologic concepts clearly and simply. It bridges the gap between the clinician and the epidemiologist by providing a number of clinical examples, and explains the epidemiologic emphasis on the study of groups rather than individuals.You'll also find examination of the relationship between epidemiology and the study of social and political problems such the changing health care systems and environmental hazards.
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Statistical Reasoning in Medicine: The Intuitive P-Value Primer
Lemuel A. Moyé Manufacturer: Springer ProductGroup: Book Binding: Paperback Similar Items:
Accessories:
ASIN: 0387329137 |
Book Description
Lowers the Learning Curve for Physicians and Researchers!
The successful Statistical Reasoning in Medicine: The Intuitive P-value Primer, with its novel emphasis on patient and community protection, illustrated the correct use of statistics in health care research for healthcare workers. Through clear explanations and examples, this book provided the non-mathematician with a foundation for understanding the underlying statistical reasoning process in clinical research, the core principles of research design, and the correct use of statistical inference and p-values.
The P-Value Primer 2nd Edition levels the learning curve of statistics for health care researchers by further de-emphasizing mathematical and computational devices, bringing the principles of statistical reasoning closer to the uninitiated. Adding to the updated discussions of research design, hypothesis testing, regression analysis, and Bayes procedures, are new discussions of absolute and relative risk, as well as a lucid description of the number needed to treat (NNT). The multiple analysis issue is clearly defined, and a new description of the correct use and interpretation of combined endpoints in health care research is offered in an easily digestible format.
The P-value Primer 2nd Edition demolishes other obstacles that have impeded a clear understanding of the application of statistics in medicine. The intertwined roles of epidemiology and biostatistics are depicted. In addition to a description of the non-technical history of statistics, a new discussion describes the active cultural forces that have historically argued against the use of probability and statistics, placing the current applications and controversies involving p-values in context. New illustrations of the difficulties physicians and health care providers face in research are offered, and the differences between research skills and statistical skills are distinguished. New discussion describing the process of scientific reasoning, p-values, and the law is included. All of this nonstandard content, so essential for a well rounded perspective on the modern use of statistics in medicine, makes this volume unique among introductory statistics books.
New figures, conversation, and illustrations fortify each chapter. In addition, three new appendices have been added on the normal distribution, sample size computations, and new requirements for the use of statistics in the courtroom.
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