This new book provides a unified, in-depth, readable introduction to the
multipredictor regression methods most widely used in biostatistics:
linear models for continuous outcomes, logistic models for binary
outcomes, the Cox model for right-censored survival times,
repeated-measures models for longitudinal and hierarchical outcomes, and
generalized linear models for counts and other outcomes.