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The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using Glim
Author(s) -
Aitkin Murray,
Clayton David
Publication year - 1980
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2986301
Subject(s) - weibull distribution , censoring (clinical trials) , statistics , mathematics , linear regression , regression analysis , exponential function , exponential distribution , poisson distribution , proportional hazards model , mathematical analysis
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.