Introduction to handling missing outcome and cost data in the economic evaluation of randomised controlled trials

Rita Faria, David M. Epstein

Research output: Contribution to conferenceOther


Objectives and Outline
The course will provide practical solutions to the specific problems arising from missing and censored data on costs and quality –adjusted life years in randomised controlled trials (RCTs). Missing data reduces the effective sample size and can sometimes bias estimates of the treatment effect. Analysis of RCTs must carefully consider the possible reasons for missing data, and take appropriate account of the missing values in the methods of analysis.

The course will start with an introduction to the theoretical background on missing data, followed by a brief description of the methods (complete case, mean imputation, conditional mean imputation, multiple imputation and inverse probability weighting (Lin-Willan method). Practical applications of the methods will be discussed, illustrated with examples from published trials.
Original languageEnglish
Publication statusUnpublished - 2012
Event9th Health Technology Assessment International (HTAi) Annual Meeting - Bilbao, Spain
Duration: 23 Jun 201227 Jun 2012


Conference9th Health Technology Assessment International (HTAi) Annual Meeting
Abbreviated titleHTAi
Internet address

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