title: Semiparametric estimation of proportional mean residual life model in presence of censoring.
abstract: A mean residual life function is the average remaining life of a surviving subject, as it varies with time. The proportional mean residual life model was proposed by Oakes and Dasu (1990, Biometrika77, 409-410) in regression analysis to study its association with related covariates in absence of censoring. In this article, we develop some semiparametric estimation procedures to take censoring into account. The proposed methodology is evaluated via simulation studies, and further applied to a clinical trial of chemotherapy in postoperative radiotherapy of lung cancer patients.
authors.affiliation: Program in Biostatistics, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. yqchen@scharp.org
authors.forename: Y Q
authors.initials: YQ
authors.lastname: Chen
authors.forename: N P
authors.initials: NP
authors.lastname: Jewell
authors.forename: X
authors.initials: X
authors.lastname: Lei
authors.forename: S C
authors.initials: SC
authors.lastname: Cheng
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use; D001699:Biometry; D002986:Clinical Trials as Topic / Q000379:methods; D006801:Humans; D008175:Lung Neoplasms / Q000188:drug therapy / Q000401:mortality* / Q000532:radiotherapy; D015233:Models, Statistical; D016016:Proportional Hazards Models; D016019:Survival Analysis; D013995:Time
chemical_list: D000970:Antineoplastic Agents