title: Regression analysis of grouped survival data with incomplete covariates: nonignorable missing-data and censoring mechanisms.
abstract: Previous methods for the analysis of survival data with incomplete covariates have assumed that the missing-data and censoring mechanisms are ignorable. We relax both assumptions for the analysis of grouped survival data.
authors.affiliation: Biometry Branch, National Cancer Institute, Bethesda, Maryland 20892-7354.
authors.forename: S G
authors.initials: SG
authors.lastname: Baker
mesh_terms: D004812:Epidemiologic Methods; D006801:Humans; D008433:Mathematics; D015233:Models, Statistical; D011336:Probability; D012044:Regression Analysis; D016019:Survival Analysis; D015996:Survival Rate