This book will be of interest to readers active in the fields of
survival analysis, genetics, ecology, biology, demography, reliability
and quality control.
Since Sir David Cox's pioneering work in 1972, the proportional hazards
model has become the most important model in survival analysis. The
success of the Cox model stimulated further studies in semiparametric
and nonparametric theories, counting process models, study designs in
epidemiology, and the development of many other regression models that
could offer more flexible or more suitable approaches in data analysis.
Flexible semiparametric regression models are increasingly being used to
relate lifetime distributions to time-dependent explanatory variables.
Throughout the book, various recent statistical models are developed in
close connection with specific data from experimental studies in
clinical trials or from observational studies.