BIOSTATISTICAL METHODS

A new edition of the definitive guide to classical and modern methods of biostatistics
Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among
biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts
and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern
likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods
for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time
data.
Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods
for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present
modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models
for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations.