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

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...

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Vydané v:	The Stata journal Ročník 18; číslo 3; s. 716
Hlavní autori:	Chaimani, Anna, Mavridis, Dimitris, Higgins, Julian P T, Salanti, Georgia, White, Ian R
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.09.2018
Predmet:	meta-analysis mixed treatment comparison st0540 metamiss2 sensitivity analysis informative missingness
ISSN:	1536-867X
On-line prístup:	Zistit podrobnosti o prístupe
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