Survival Analysis: A Self-learning Text (statistics For Biology And Health)
by Mitchel Klein /
1997 / English / PDF
13.6 MB Download
This text on survival analysis provides a straightforward and
easy-to-follow introduction to the main concepts and techniques of
the subject. It is based on numerous courses given by the author to
students and researchers in the health sciences and is written with
such readers in mind. Throughout, there is an emphasis on
presenting each new topic motivated with real examples of a
survival analysis investigation, and then presenting thorough
analyses of real data sets. Each chapter concludes with practice
exercises to help readers reinforce their understanding of the
concepts covered in the chapter. Readers can then extend their
knowledge with a more thoroughgoing test. Answers to both are
included. Beginning with the basic concepts of survival
analysis-time to an event as a variable, censored data, and the
hazard function-the author then introduces the Kaplan-Meier
survival curves, the log-rank test, the Peto test, and the most
widely used technique in survival analysis, the Cox proportional
hazards model. Later chapters cover techniques for evaluating the
proportional hazards assumptions, the stratified Cox procedure, and
extending the Cox model to time-dependent variables. Readers will
enjoy David Kleinbaum's style of presentation with numerous figures
and diagrams illustrating each idea. As a result, this text makes
an excellent introduction for all those coming to the subject for
the first time.
This text on survival analysis provides a straightforward and
easy-to-follow introduction to the main concepts and techniques of
the subject. It is based on numerous courses given by the author to
students and researchers in the health sciences and is written with
such readers in mind. Throughout, there is an emphasis on
presenting each new topic motivated with real examples of a
survival analysis investigation, and then presenting thorough
analyses of real data sets. Each chapter concludes with practice
exercises to help readers reinforce their understanding of the
concepts covered in the chapter. Readers can then extend their
knowledge with a more thoroughgoing test. Answers to both are
included. Beginning with the basic concepts of survival
analysis-time to an event as a variable, censored data, and the
hazard function-the author then introduces the Kaplan-Meier
survival curves, the log-rank test, the Peto test, and the most
widely used technique in survival analysis, the Cox proportional
hazards model. Later chapters cover techniques for evaluating the
proportional hazards assumptions, the stratified Cox procedure, and
extending the Cox model to time-dependent variables. Readers will
enjoy David Kleinbaum's style of presentation with numerous figures
and diagrams illustrating each idea. As a result, this text makes
an excellent introduction for all those coming to the subject for
the first time.
