On hazard-based penalized likelihood estimation of accelerated failure time model with partly interval censoring.
In survival analysis, the semiparametric accelerated failure time model is an important alternative to the widely used Cox proportional hazard model. The existing methods for accelerated failure time models include least-squares, log rank-based estimating equations and approximations to the nonparam...
| Publicado en: | Statistical Methods in Medical Research Vol. 29; no. 12; pp. 3804 - 3818 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Dec2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146317559&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146317559 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09622802 31F jtl: Statistical Methods in Medical Research issn: 09622802 maglogo: Y pubinfo: dt: Dec2020 vid: 29 iid: 12 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 146317559 146282128 146317559 NLM32689908 146317559 10.1177/0962280220942555 NLM32689908 146317559 ppf: 3804 ppct: 14 formats: tig: atl: On hazard-based penalized likelihood estimation of accelerated failure time model with partly interval censoring. aug: au: Li, Jinqing Ma, Jun affil: Department of Statistics and Actuarial Studies, School of Insurance and Economics, University of International Business and Economics, Beijing, China sug: subj: Probability Computer Simulation Cox Proportional Hazards Model Survival Analysis ab: In survival analysis, the semiparametric accelerated failure time model is an important alternative to the widely used Cox proportional hazard model. The existing methods for accelerated failure time models include least-squares, log rank-based estimating equations and approximations to the nonparametric error distribution. In this paper, we propose another fitting method for the accelerated failure time model, formulated from the hazard function of the exponential error term. Our method can handle partly interval-censored data which contains event time, as well as left, right and interval censoring time. We adopt the maximum penalized likelihood method to estimate all the parameters in the model, including the nonparametric component. The penalty function is used to regularize the nonparametric component of the accelerated failure time model. Asymptotic properties of the penalized likelihood estimate are developed. A simulation study is conducted to investigate the performance of the proposed method and an application of this method to an AIDS study is presented as an example. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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