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10.1002/sim.6852 http://scihub22266oqcxt.onion/10.1002/sim.6852 C4853244!4853244 !26763556     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26763556 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Stat+Med 2016 ; 35 (13 ): 2183-94 Nephropedia Template TP {{tp|p=26763556 |t=2016. Evaluating predictors of competing risk outcomes when censoring depends on time-dependent covariates, with application to safety and efficacy of HIV treatment |pdf=|usr=}}{{26763556 }} gab.com Text Evaluating predictors of competing risk outcomes when censoring depends on time-dependent covariates, with application to safety and efficacy of HIV treatment JO: Stat Med http://www.kidney.de/pget.php?&tw=1&pmid=26763556 #FOAvip 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. Twit Text FOAVip Evaluating predictors of competing risk outcomes when censoring depends on time-dependent covariates, with application to safety and efficacy of HIV treatment ????Stat Med http://www.kidney.de/pget.php?&tw=1&pmid=26763556 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26763556 #FOAvip English Wikipedia <ref>{{Cite pmid|26763556 }}</ref> 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]Evaluating predictors of competing risk outcomes when censoring depend(epmc).pdf DeepDyve Pubget Overpricing