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10.1002/sim.6852

http://scihub22266oqcxt.onion/10.1002/sim.6852
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suck abstract from ncbi


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pmid26763556
      Stat+Med 2016 ; 35 (13 ): 2183-94
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  • Evaluating predictors of competing risk outcomes when censoring depends on time-dependent covariates, with application to safety and efficacy of HIV treatment #MMPMID26763556
  • Lok JJ ; Hughes MD
  • Stat Med 2016[Jun]; 35 (13 ): 2183-94 PMID26763556 show ga
  • We propose a prediction model for the cumulative incidence functions of competing risks, based on a logit link. Because of a concern about censoring potentially depending on time-varying covariates in our motivating human immunodeficiency virus (HIV) application, we describe an approach for estimating the parameters in the prediction models using inverse probability of censoring weighting under a missingness at random assumption. We then illustrate the application of this methodology to identify predictors of the competing outcomes of virologic failure, an efficacy outcome, and treatment limiting adverse event, a safety outcome, among human immunodeficiency virus-infected patients first starting antiretroviral treatment. Copyright © 2016 John Wiley & Sons, Ltd.
  • |*Models, Statistical [MESH]
  • |Anti-HIV Agents/adverse effects/*therapeutic use [MESH]
  • |Data Interpretation, Statistical [MESH]
  • |HIV Infections/*drug therapy [MESH]
  • |Humans [MESH]
  • |Probability [MESH]
  • |Risk Assessment [MESH]
  • |Time Factors [MESH]
  • |Treatment Failure [MESH]


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