Abstract

Meta-analysis is the method to combine data coming from multiple studies,with the aim to provide an overall event-risk measure of interest summarizinginformation coming from the studies. In meta-analysis generalized linear mixedmodels (GLMM) are particularly used for a number of measures of interest sincethey allow the true effect size to differ from study to study while accepting binary,discrete as well as continuous response variable. In the present paper some strategiesof influence diagnostics based on log-likelihood are suggested and discussed. Theseare considered for Individual Patient Data, Aggregate Data and their compounding.
Lingua originaleEnglish
Numero di pagine0
Stato di pubblicazionePublished - 2012

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