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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 ...
Empirical Comparisons of 12 Meta-analysis Methods for Synthesizing Proportions of Binary Outcomes
(
Springer
, 2021 , Article)
Background: Meta-analysis is increasingly used to synthesize proportions (e.g., disease prevalence). It can be implemented with widely used two-step methods or one-step methods, such as generalized linear mixed models ...
Double-zero-event studies matter: A re-evaluation of physical distancing, face masks, and eye protection for preventing person-to-person transmission of COVID-19 and its policy impact
(
Elsevier
, 2021 , Other)
In a recent timely systematic review, Chu et al. [1] assessed the effectiveness of face masks, eye protection, and physical distancing for preventing COVID-19. Because the sample sizes are not large, especially in some ...