Literature DB >> 15449329

A parametric survival model with an interval-censored covariate.

Klaus Langohr1, Guadalupe Gómez, Robert Muga.   

Abstract

We present a parametric survival model whose particularity consists in the inclusion of an interval-censored covariate. The methodology is motivated by a study on injecting drug users in Badalona (Spain), most of whom suffered HIV infection as a result of their drug addiction. The study aims to examine the possible association between the elapsed time from first injecting drug use until HIV infection and the subsequent AIDS incubation period. Whereas the moment of HIV infection cannot be observed exactly and is therefore interval-censored, time until AIDS onset is doubly-censored. For the maximization of the resulting likelihood function, we use a numerical solver. Maximization is carried out by means of the mathematical programming language AMPL.

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Year:  2004        PMID: 15449329     DOI: 10.1002/sim.1892

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

1.  Simultaneous marginal survival estimators when doubly censored data is present.

Authors:  Olga Julià; Guadalupe Gómez
Journal:  Lifetime Data Anal       Date:  2010-10-01       Impact factor: 1.588

2.  Flexible Modeling of Survival Data with Covariates Subject to Detection Limits via Multiple Imputation.

Authors:  Paul W Bernhardt; Huixia Judy Wang; Daowen Zhang
Journal:  Comput Stat Data Anal       Date:  2014-01       Impact factor: 1.681

3.  A Parametric Survival Model When a Covariate is Subject to Left-Censoring.

Authors:  Abdus Sattar; Sanjoy K Sinha; Nathan J Morris
Journal:  J Biom Biostat       Date:  2012

4.  Cox regression model with randomly censored covariates.

Authors:  Folefac D Atem; Roland A Matsouaka; Vincent E Zimmern
Journal:  Biom J       Date:  2019-03-25       Impact factor: 2.207

5.  Cox model with interval-censored covariate in cohort studies.

Authors:  Soohyun Ahn; Johan Lim; Myunghee Cho Paik; Ralph L Sacco; Mitchell S Elkind
Journal:  Biom J       Date:  2018-05-18       Impact factor: 2.207

6.  A novel calibration framework for survival analysis when a binary covariate is measured at sparse time points.

Authors:  Daniel Nevo; Tsuyoshi Hamada; Shuji Ogino; Molin Wang
Journal:  Biostatistics       Date:  2020-04-01       Impact factor: 5.899

7.  Statistical methodologies for evaluation of the rate of persistence of Ebola virus in semen of male survivors in Sierra Leone.

Authors:  Ndema Habib; Michael D Hughes; Nathalie Broutet; Anna Thorson; Philippe Gaillard; Sihem Landoulsi; Suzanne L R McDonald; Pierre Formenty
Journal:  PLoS One       Date:  2022-10-05       Impact factor: 3.752

8.  Analyzing left-truncated and right-censored infectious disease cohort data with interval-censored infection onset.

Authors:  Daewoo Pak; Jun Liu; Jing Ning; Guadalupe Gómez; Yu Shen
Journal:  Stat Med       Date:  2020-10-21       Impact factor: 2.373

  8 in total

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