Literature DB >> 26754156

Reader reaction: Instrumental variable additive hazards models with exposure-dependent censoring.

Kwun Chuen Gary Chan1.   

Abstract

Li, Fine, and Brookhart (2015) presented an extension of the two-stage least squares (2SLS) method for additive hazards models which requires an assumption that the censoring distribution is unrelated to the endogenous exposure variable. We present another extension of 2SLS that can address this limitation.
© 2016, The International Biometric Society.

Entities:  

Keywords:  Two-stage residual inclusion; Unmeasured confounding

Mesh：

Year:  2016        PMID： 26754156      PMCID： PMC4940314          DOI： 10.1111/biom.12471

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


  2 in total

1.  Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling.

Authors:  Joseph V Terza; Anirban Basu; Paul J Rathouz
Journal:  J Health Econ       Date:  2007-12-04       Impact factor: 3.883

2.  Instrumental variable additive hazards models.

Authors:  Jialiang Li; Jason Fine; Alan Brookhart
Journal:  Biometrics       Date:  2014-10-08       Impact factor: 2.571
  2 in total
  2 in total

1.  Instrumental variable with competing risk model.

Authors:  Cheng Zheng; Ran Dai; Parameswaran N Hari; Mei-Jie Zhang
Journal:  Stat Med       Date:  2017-01-08       Impact factor: 2.373

2.  Instrumental variable estimation in semi-parametric additive hazards models.

Authors:  Matthias Brueckner; Andrew Titman; Thomas Jaki
Journal:  Biometrics       Date:  2018-08-02       Impact factor: 2.571
  2 in total

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