Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: Extensions to metamiss

Chaimani, Anna; Mavridis, Dimitris; Higgins, Julian P T; Salanti, Georgia; White, Ian R (2018). Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: Extensions to metamiss. Stata journal, 18(3), pp. 716-740. Stata Press

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Missing outcome data can invalidate the results of randomized trials and their meta-analysis. However, addressing missing data is often a challenging issue because it requires untestable assumptions. The impact of missing outcome data on the meta-analysis summary effect can be explored by assuming a relationship between the outcome in the observed and the missing participants via an informative missingness parameter. The informative missingness parameters cannot be estimated from the observed data, but they can be specified, with associated uncertainty, using evidence external to the meta-analysis, such as expert opinion. The use of informative missingness parameters in pairwise meta-analysis of aggregate data with binary outcomes has been previously implemented in Stata by the metamiss command. In this article, we present the new command metamiss2, which is an extension of metamiss for binary or continuous data in pairwise or network meta-analysis. The command can be used to explore the robustness of results to different assumptions about the missing data via sensitivity analysis.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Salanti, Georgia

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1536-867X

Publisher:

Stata Press

Language:

English

Submitter:

Tanya Karrer

Date Deposited:

01 Oct 2018 08:52

Last Modified:

14 Nov 2019 06:09

PubMed ID:

30595674

Uncontrolled Keywords:

st0540, metamiss2, informative missingness, mixed treatment comparison, sensitivity analysis, meta-analysisst0540, metamiss2, informative missingness, mixed treatment comparison, sensitivity analysis, meta-analysis

BORIS DOI:

10.7892/boris.120058

URI:

https://boris.unibe.ch/id/eprint/120058

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