Editorial ReviewsProduct Description
Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.
About the Author
Bernard Rosner is Professor in the Department of Medicine, Harvard Medical School, and the Department of Biostatistics at the Harvard School of Public Health. Dr. Rosner's research activities currently include longitudinal data analysis, analysis of clustered continuous, binary and ordinal data, methods for the adjustment of regression models for measurement error, and modeling of cancer incidence data.
Ch. 1 General Overview 1
Ch. 2 Descriptive Statistics 5
Ch. 3 Probability 43
Ch. 4 Discrete Probability Distributions 71
Ch. 5 Continuous Probability Distributions 105
Ch. 6 Estimation 141
Ch. 7 Hypothesis Testing: One-Sample Inference 191
Ch. 8 Hypothesis Testing: Two-Sample Inference 251
Ch. 9 Multisample Inference 299
Ch. 10 Hypothesis Testing: Categorical Data 345
Ch. 11 Regression and Correlation Methods 443
Ch. 12 Nonparametric Methods 551
Ch. 13 Hypothesis Testing: Person-Time Data 585
Tables 633
Answers to Selected Problems 663
Flowchart for Appropriate Methods of Statistical Inference 669
Index of Data Sets 676
Index 677
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