Potential impact of missing outcome data on treatment effects in systematic reviews: imputation study.

ABSTRACT:

Objective

To assess the risk of bias associated with missing outcome data in systematic reviews.

Design

Imputation study.

Setting

Systematic reviews.

Population

100 systematic reviews that included a group level meta-analysis with a statistically significant effect on a patient important dichotomous efficacy outcome.

Main outcome measures

Median percentage change in the relative effect estimate when applying each of the following assumption (four commonly discussed but implausible assumptions (best case scenario, none had the event, all had the event, and worst case scenario) and four plausible assumptions for missing data based on the informative missingness odds ratio (IMOR) approach (IMOR 1.5 (least stringent), IMOR 2, IMOR 3, IMOR 5 (most stringent))

SUBMITTER: Kahale LA 

PROVIDER: S-EPMC7448113 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature