Statistical Methods for Survival Data AnalysisThird Edition brings the text up to date with new material and updated references.

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Contents
Functions of Survival Time  8 
Examples of Survival Data Analysis  19 
Nonparametric Methods of Estimating Survival Functions  64 
Copyright  
11 other sections not shown
Common terms and phrases
agea ageb sex ageb sex smoke analysis asymptotic baseline BMDP cancer cens censored observations Chapter chisquare distribution Compute confidence interval Consider covariates Cox–Snell residuals data in Example death defined degrees of freedom denote density function diabetes diet discussed Exercise Table exponential distribution extended generalized gamma failure Figure followup gamma distribution gender hazard function hazard plot hazard rate indsma likelihood function linear LINSUL loglikelihood function loglogistic distribution logistic regression logistic regression model lognormal distribution logrank test logt mean survival median method missover model t”cens(0 Newton–Raphson nonparametric null hypothesis number of patients obtained odds ratio parameters partial likelihood function population probability plot procedure prognostic factors proportional hazards model recurrence rejected remission risk factors sample SAS code Section selection significant standard stratum survival data survival distributions survival function survivorship function test statistic tumor tumorfree uncensored underlying distribution values variance Weibull distribution
References to this book
An Introduction to Generalized Linear Models, Second Edition Annette J. Dobson No preview available  2010 