A framework for extending trial design to facilitate missing data sensitivity analyses

A framework for extending trial design to facilitate missing data sensitivity analyses

Abstract Background Missing data are an inevitable challenge in Randomised Controlled Trials (RCTs), particularly those with Patient Reported Outcome Measures. Methodological guidance suggests that to avoid incorrect conclusions, studies should undertake sensitivity analyses which recognise that dat...

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Bibliographic Details
Main Authors: Alexina J. Mason, Richard D. Grieve, Alvin Richards-Belle, Paul R. Mouncey, David A. Harrison, James R. Carpenter
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian analysis
Clinical trials
Expert elicitation
Missing data
Pattern-mixture models
Sensitivity analysis
Online Access:http://link.springer.com/article/10.1186/s12874-020-00930-2

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http://link.springer.com/article/10.1186/s12874-020-00930-2

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