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Basic Statistics:

A Primer for the Biomedical Sciences
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John Wiley & Sons, Aug 11, 2009 - Mathematics - 288 pages
New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences

In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical tools, such as sampling, random assignment, and survival analysis.

Continuing the tradition of its predecessor, this new edition outlines a thorough discussion of different kinds of studies and guides readers through the important, related decision-making processes such as determining what information is needed and planning the collections process. The book equips readers with the knowledge to carry out these practices by explaining the various types of studies that are commonly conducted in the fields of medical and public health, and how the level of evidence varies depending on the area of research. Data screening and data entry into statistical programs is explained and accompanied by illustrations of statistical analyses and graphs. Additional features of the Fourth Edition include:

  • A new chapter on data collection that outlines the initial steps in planning biomedical and public health studies
  • A new chapter on nonparametric statistics that includes a discussion and application of the Sign test, the Wilcoxon Signed Rank test, and the Wilcoxon Rank Sum test and its relationship to the Mann-Whitney U test
  • An updated introduction to survival analysis that includes the Kaplan Meier method for graphing the survival function and a brief introduction to tests for comparing survival functions
  • Incorporation of modern statistical software, such as SAS, Stata, SPSS, and Minitab into the presented discussion of data analysis
  • Updated references at the end of each chapter

Basic Statistics, Fourth Edition is an ideal book for courses on biostatistics, medicine, and public health at the upper-undergraduate and graduate levels. It is also appropriate as a reference for researchers and practitioners who would like to refresh their fundamental understanding of statistical techniques.

  

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Contents

1 Initial Steps
1
2 Populations and Samples
13
3 Collecting and Entering Data
27
4 Frequency Tables and Their Graphs
35
5 Measures of Location and Variability
49
6 The Normal Distribution
63
7 Estimation of Population Means Confidence Intervals
79
8 Tests of Hypotheses on Population Means
95
11 Categorical Data Analysis of Twoway Frequency Tables
141
12 Regression and Correlation
165
13 Nonparametric Statistics
189
14 Introduction to Survival Analysis
201
Appendix A Statistical Tables
219
Appendix B Answers to Selected Problems
235
Appendix C Computer Statistical Program Resources
243
Bibliography
249

9 Variances Estimation and Tests
117
10 Categorical Data Proportions
125

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About the author (2009)

The late OLIVE JEAN DUNN, PhD, was Professor Emerita of Biostatistics and Biomathematics at the University of California, Los Angeles. Dr. Dunn's academic career spanned over forty years and included significant contributions to statistical research. She was a Fellow of the American Statistical Association, the American Association for the Advancement of Science, and the American Public Health Association, as well as coauthor of Applied Statistics: Analysis of Variance and Regression, Third Edition (Wiley). VIRGINIA A. CLARK, PhD, is Professor Emerita of Biostatistics and Biomathematics at the University of California, Los Angeles. A Fellow of the American Statistical Association, Dr. Clark has coauthored over ninety journal articles and is coauthor of Applied Statistics: Analysis of Variance and Regression, Third Edition (Wiley).

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