Literature DB >> 10474145

Event history analysis and inference from observational epidemiology.

N Keiding1.   

Abstract

Systematic inclusion of time in observational epidemiological studies may help strengthen the inference to be drawn, but new epidemiological challenges arise, such as time-dependent confounders - covariates which may change from being confounders to being intermediate variables. The focus of this presentation concerns two sets of tools: event history analysis and structural nested failure time models, both applied to a particularly intricate problem in observational epidemiology, of empirically assessing the graft-versus-leukaemia effect after bone marrow transplantation.

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Year:  1999        PMID: 10474145     DOI: 10.1002/(sici)1097-0258(19990915/30)18:17/18<2353::aid-sim261>3.0.co;2-#

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


  4 in total

1.  MIMICKING COUNTERFACTUAL OUTCOMES TO ESTIMATE CAUSAL EFFECTS.

Authors:  Judith J Lok
Journal:  Ann Stat       Date:  2017-05-16       Impact factor: 4.028

2.  Potential for bias in waiting time studies: events between enrolment and admission.

Authors:  B Sobolev; P Brown; D Zelt
Journal:  J Epidemiol Community Health       Date:  2001-12       Impact factor: 3.710

3.  Impact of time to start treatment following infection with application to initiating HAART in HIV-positive patients.

Authors:  Judith J Lok; Victor DeGruttola
Journal:  Biometrics       Date:  2012-02-21       Impact factor: 2.571

4.  Causality, mediation and time: a dynamic viewpoint.

Authors:  Odd O Aalen; Kjetil Røysland; Jon Michael Gran; Bruno Ledergerber
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2012-10       Impact factor: 2.483

  4 in total

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