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Relationship Between the Cox,Lehmann, Weibull,and Accelerated Lifetime Models
Authors:Qiqing Yu  Rick Chappell  G Y C Wong  Yuting Hsu  Marcin Mazur
Institution:1. Department of Mathematical Sciences , SUNY , Binghamton, New York, USA qyu@math.binghamton.edu;3. Departments of Biostatistics and Medical Informatics &4. Statistics , University of Wisconsin , Madison, Wisconsin, USA;5. Strang Cancer Prevention Center , New York, USA;6. Department of Mathematical Sciences , SUNY , Binghamton, New York, USA
Abstract:Cox and Oakes (1984 Cox , D. R. , Oakes , D. ( 1984 ). Analysis of Survival Data . New York : Chapman & Hall . Google Scholar]) claimed that a model satisfies the accelerated lifetime (AL) model and the proportional hazards (PH) model iff it is Weibull. Doksum and Nabeya (1984 Doksum , K. A. , Nabeya , S. ( 1984 ). Estimation in proportional hazards and log-linear models . J. Statist. Plann. Infer. 9 : 297303 .Crossref], Web of Science ®] Google Scholar]) constructed a family of analytic non Weibull survival functions that satisfies both the PH and AL models. We further study the relationship between the PH, AL, Lehmann, and Weibull models without the restriction of absolute continuity.
Keywords:Lehmann model  Regression analysis  Weibull distribution
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