Fundamentals of Biostatistics, Volume 1

Front Cover
Duxbury Press, 1995 - Biometry. - 682 pages
This edition of Rosner's text stresses mastery of methods most often used in medical research, with specific reference to actual medical literature and actual medical research. The approach minimizes mathematical formulation, yet gives complete explanations of all important concepts. Every new concept is systematically developed through completely worked-out examples from current medical research problems. Computer output is used to illustrate concepts when appropriate. Also includes:
-- Survival data topics consolidated into an expanded chapter on person-time data
-- A modern chapter on Anova which immediately follows the chapter on two-sample inference. It includes the random-effects model in one-way Anova and leads into regression.
-- Two chapters on regression including discussion of dummy variables, variable selection procedures, transformations, and polynomial regression models
-- Modern material on inference for categorical data
-- A "Student's Solutions Manual" incorporated into the "Selected Answers" section at the end of the book (complete solutions to selected exercises)

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General Overview
Discrete Probability Distributions

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About the author (1995)

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.

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