Literature DB >> 19844946

Missing data: discussion points from the PSI missing data expert group.

Tomasz Burzykowski1, James Carpenter, Corneel Coens, Daniel Evans, Lesley France, Mike Kenward, Peter Lane, James Matcham, David Morgan, Alan Phillips, James Roger, Brian Sullivan, Ian White, Ly-Mee Yu.   

Abstract

The Points to Consider Document on Missing Data was adopted by the Committee of Health and Medicinal Products (CHMP) in December 2001. In September 2007 the CHMP issued a recommendation to review the document, with particular emphasis on summarizing and critically appraising the pattern of drop-outs, explaining the role and limitations of the 'last observation carried forward' method and describing the CHMP's cautionary stance on the use of mixed models. In preparation for the release of the updated guidance document, statisticians in the Pharmaceutical Industry held a one-day expert group meeting in September 2008. Topics that were debated included minimizing the extent of missing data and understanding the missing data mechanism, defining the principles for handling missing data and understanding the assumptions underlying different analysis methods. A clear message from the meeting was that at present, biostatisticians tend only to react to missing data. Limited pro-active planning is undertaken when designing clinical trials. Missing data mechanisms for a trial need to be considered during the planning phase and the impact on the objectives assessed. Another area for improvement is in the understanding of the pattern of missing data observed during a trial and thus the missing data mechanism via the plotting of data; for example, use of Kaplan-Meier curves looking at time to withdrawal.
Copyright © 2009 John Wiley & Sons, Ltd.

Mesh:

Year:  2010        PMID: 19844946     DOI: 10.1002/pst.391

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  7 in total

1.  Sensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial.

Authors:  Victoria Liublinska; Donald B Rubin
Journal:  Stat Med       Date:  2014-05-20       Impact factor: 2.373

2.  Including all individuals is not enough: lessons for intention-to-treat analysis.

Authors:  Ian R White; James Carpenter; Nicholas J Horton
Journal:  Clin Trials       Date:  2012-07-02       Impact factor: 2.486

3.  Self-monitoring of lower leg skin temperature: accuracy of self-reported data and adherence to a cooling protocol for the prevention of venous leg ulcers.

Authors:  Teresa J Kelechi; Mohan Madisetti; Martina Mueller; Mary Dooley; Margaret Prentice
Journal:  Patient Prefer Adherence       Date:  2015-12-15       Impact factor: 2.711

4.  Missing data in trial-based cost-effectiveness analysis: An incomplete journey.

Authors:  Baptiste Leurent; Manuel Gomes; James R Carpenter
Journal:  Health Econ       Date:  2018-03-24       Impact factor: 3.046

5.  Changing physical activity behaviour for people with multiple sclerosis: protocol of a randomised controlled feasibility trial (iStep-MS).

Authors:  Jennifer M Ryan; Jennifer Fortune; Andrea Stennett; Cherry Kilbride; Nana Anokye; Christina Victor; Wendy Hendrie; Mohamed Abdul; Lorraine DeSouza; Grace Lavelle; Debbie Brewin; Lee David; Meriel Norris
Journal:  BMJ Open       Date:  2017-11-15       Impact factor: 2.692

6.  Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.

Authors:  Baptiste Leurent; Manuel Gomes; Rita Faria; Stephen Morris; Richard Grieve; James R Carpenter
Journal:  Pharmacoeconomics       Date:  2018-08       Impact factor: 4.981

7.  Reference-based multiple imputation for missing data sensitivity analyses in trial-based cost-effectiveness analysis.

Authors:  Baptiste Leurent; Manuel Gomes; Suzie Cro; Nicola Wiles; James R Carpenter
Journal:  Health Econ       Date:  2019-12-17       Impact factor: 3.046

  7 in total

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