The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using Glim

S ummary Regression models may be fitted to censored survival data by the use of exponential, Weibull and extreme value distributions in glim . Standard probability plotting procedures for uncensored data may be modified to allow for censoring. A simultaneous test procedure may be used to determine a minimal adequate regression model. The procedure is briefly illustrated on two sets of published cancer survival data.