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Laplace approximation, penalized quasi-likelihood, and adaptive Gauss-Hermite quadrature for generalized linear mixed models: Towards meta-analysis of binary outcome with sparse data
(
BMC
, 2020 , Article)
© 2020 The Author(s). Background: In meta-analyses of a binary outcome, double zero events in some studies cause a critical methodology problem. The generalized linear mixed model (GLMM) has been proposed as a valid ...
P-value driven methods were underpowered to detect publication bias: analysis of Cochrane review meta-analyses
(
Elsevier
, 2019 , Article)
To investigate the effect of number of studies in a meta-analysis on the detection of publication bias using p-value driven methods. The proportion of meta-analyses detected by Egger's, Harbord's, Peters', and Begg's tests ...
Utilization of the evidence from studies with no events in meta-analyses of adverse events: an empirical investigation
(
Springer
, 2021 , Article)
Zero-events studies frequently occur in systematic reviews of adverse events, which consist of an important source of evidence. We aimed to examine how evidence of zero-events studies was utilized in the meta-analyses of ...
The odds ratio is “portable” but not the relative risk: Time to do away with the log link in binomial regression
(
Elsevier
, 2021 , Article)
Objectives: In a recent paper we suggest that the relative risk (RR) be replaced with the odds ratio (OR) as the effect measure of choice in clinical epidemiology. In response, Chu, and colleagues raise several points that ...