Statistical Methods for Survival Data Analysis
Third Edition brings the text up to date with new material and updated references. New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses to the logistic regression model. Coverage of graphical methods has been deleted. Large data sets are provided on an FTP site for readers' convenience. Bibliographic remarks conclude each chapter.
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B Comparison of Three
3 How to Use This Book Example 3 4 Identification of Efficiently 7 Prognostic Factors
4 1 ProductLimit Estimates
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analysis assigned calculated CALL PLOT cancer censored observations Chapter chi-square distribution clinical trials coefficients CONTINUE covariates Cox's cumulative death degrees of freedom difference discussed disease DYPN Equation EXAMPLE Exercise Table exponential distribution EXPS F-distribution failure Figure FORMAT 1H0 gamma distribution Gehan hazard function hazard rate historical controls independent variables individuals interval iterative leukemia life-table likelihood function linear log-likelihood lognormal distribution logrank test maximum likelihood estimates mean survival median method NINT normal distribution number of patients obtained Ol Ol parameters percent Peto population probability density function probability plot procedure prognostic factors prognostic variables proportion randomized controls ratio regression response RETURN END SUBROUTINE sample scale scores significant standard SUBROUTINE Suppose SURCUM survival data survival distributions survival functions survivorship function treatment groups uncensored variance WALUES Weibull distribution Wilcoxon test WRITE Zelen