Literature DB >> 22850795

Re: "dealing with missing outcome data in randomized trials and observational studies".

Victoria Liublinska, Donald B Rubin.   

Abstract

Mesh：

Year:  2012        PMID： 22850795     DOI： 10.1093/aje/kws215

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN： 0002-9262            Impact factor:   4.897


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  5 in total

1.  A guide to missing data for the pediatric nephrologist.

Authors:  Nicholas G Larkins; Jonathan C Craig; Armando Teixeira-Pinto
Journal:  Pediatr Nephrol       Date:  2018-03-13       Impact factor: 3.714

2.  How to derive and validate clinical prediction models for use in intensive care medicine.

Authors:  José Labarère; Bertrand Renaud; Renaud Bertrand; Michael J Fine
Journal:  Intensive Care Med       Date:  2014-02-26       Impact factor: 17.440

3.  Short-term effectiveness of web-based guided self-help for phobic outpatients: randomized controlled trial.

Authors:  Robin N Kok; Annemieke van Straten; Aartjan T F Beekman; Pim Cuijpers
Journal:  J Med Internet Res       Date:  2014-09-29       Impact factor: 5.428

4.  Comparison of population-averaged and cluster-specific models for the analysis of cluster randomized trials with missing binary outcomes: a simulation study.

Authors:  Jinhui Ma; Parminder Raina; Joseph Beyene; Lehana Thabane
Journal:  BMC Med Res Methodol       Date:  2013-01-23       Impact factor: 4.615

5.  Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?

Authors:  Mavuto Mukaka; Sarah A White; Dianne J Terlouw; Victor Mwapasa; Linda Kalilani-Phiri; E Brian Faragher
Journal:  Trials       Date:  2016-07-22       Impact factor: 2.279
  5 in total

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