Semiparametric Models with Covariates for Lifetime Data under a General Censoring Scheme with an Application to Contingent Valuation

We are interested in estimating the distribution of lifetimes, also called survival times, subject to a general censoring scheme called ``middle censoring'' (see Jammalamadaka and Mangalam (2003)). Both the Cox proportional hazards (Cox PH) and accelerated failure time (AFT) models are con...

Full description

Saved in:
Bibliographic Details
Published inStatistica (Bologna) Vol. 76; no. 4; pp. 327 - 339
Main Authors Bennett, Nathan, Iyer, Srikanth K, Sreenivasa Rao Jammalamadaka
Format Journal Article
LanguageEnglish
Published Bologna Università degli Studi di Bologna, Department of Statistical Sciences, Alma Mater Studiorum 01.01.2016
University of Bologna
Subjects
Online AccessGet full text
ISSN0390-590X
1973-2201
DOI10.6092/issn.1973-2201/6140

Cover

Loading…
More Information
Summary:We are interested in estimating the distribution of lifetimes, also called survival times, subject to a general censoring scheme called ``middle censoring'' (see Jammalamadaka and Mangalam (2003)). Both the Cox proportional hazards (Cox PH) and accelerated failure time (AFT) models are considered since each model has a baseline distribution function that is modified by the presence of covariates. The key contribution presented is the estimation of the effect of the covariate as well as the baseline distribution function. We conclude with an application to a contingent valuation study.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0390-590X
1973-2201
DOI:10.6092/issn.1973-2201/6140