Meta‐analysis of binary data involves the computation of a weighted average of summary
statistics calculated for each trial. The selection of the appropriate summary statistic is a …

… the use of binary outcomes in assessing the effects of health care problems has increased,
with random effects logistic regression the most common method of analysis. Methods are …

… meta‐analyses to best mirror real‐life situations. We show that valid methods for meta‐analysis …
In random effects situations, the beta‐binominal model performed best for meta‐analysis …

… analysis tool for hierarchical data [16]. In this paper we put existing methods for meta-analysis
of two-arm clinical trials with binary outcomes … At present, the majority of meta-analyses are …

… A review of statistical methods used in IPD-MA of binary outcomes found that most do not …
quantifying heterogeneity in IPD-MA of binary outcomes analyzed via the one-stage approach. …

… meta-analyses, and also by taking the between-outcome correlation into account. We argue
… mutually exclusive outcomes in the meta-analyses of binary data are optimally analyzed in …

… In this paper, we develop meta-analysis models that synthesize a binary outcome from
health-care studies while accounting for participant-level covariates. In particular, we show how to …

… meta-analysis (NMA), particularly focusing on its application to randomised controlled trials
with a binary outcome of … to collect study data, structure the analytical network and specify the …

… OUTCOME MEASURES FOR BINARY DATA … of the three different outcome measures
for binary data, which we also use in the simulation study. The outcome measures are the risk …

… of I 2 in meta-analyses on binary outcomes showed similar results to those reported in this
article: almost 50% of meta-analysis on binary outcomes show heterogeneity easily explained …