Statistical Methods for Survival Data Analysis
Third Edition brings the text up to date with new material and updated references.
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Functions of Survival Time
Examples of Survival Data Analysis
Nonparametric Methods of Estimating Survival Functions
11 other sections not shown
agea ageb sex ageb sex smoke analysis asymptotic baseline BMDP cancer cens censored observations Chapter chi-square 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 follow-up gamma distribution gender hazard function hazard plot hazard rate indsma likelihood function linear LINSUL log-likelihood function log-logistic 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 tumor-free uncensored underlying distribution values variance Weibull distribution
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An Introduction to Generalized Linear Models, Second Edition
Annette J. Dobson
No preview available - 2010