Hosmer (emeritus, biostatistics, University of Massachusetts-Amherst) introduces regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. The book places emphasis on the practical andcontemporary applications of regression modeling rather than the mathematical theory, and illustrates modern modeling techniques with real-world examples and case studies. Key topics covered include variable selection, assessment of fit and model assumptions, and regression diagnostics. This second edition offers expanded coverage of covariate-adjusted survival functions, new discussion of variable selection with multivariable fractional polynomials, and the use of the Worchester Heart Attack Study as the main modeling data set for illustrating concepts and techniques. There is increased emphasis on interpreting and using results and analyzing data with missing values. New chapter exercises are also included.
