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- W4256585369 abstract "This chapter describes some analytic techniques for modeling survival data in which event outcomes and censoring times are dependent and hence censoring is informative. To distinguish informative censoring from other types of missing data, the author hereby tentatively restrict censoring as the loss of follow-up observation on the response variable under investigation. Consequently, the chapter discusses only right censoring. A traditional approach handling informative censoring is to model the censoring process in order to derive unbiased parameter estimates in the presence of nonrandom censoring. The chapter compares three sets of parameter estimates derived, respectively, from the final reduced-form equation model, the hazard model with a lognormal-distributed random term, and the hazard model with a gamma distribution. It analyzes whether the integration over random effects is statistically necessary in fitting the Weibull model, using the model chi-square criterion. Controlled Vocabulary Terms gamma distribution; informative censoring; right censoring; weibull distribution" @default.
- W4256585369 created "2022-05-12" @default.
- W4256585369 date "2012-07-05" @default.
- W4256585369 modified "2023-09-24" @default.
- W4256585369 title "Special Topics" @default.
- W4256585369 doi "https://doi.org/10.1002/9781118307656.ch9" @default.
- W4256585369 hasPublicationYear "2012" @default.
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