The trace plot is seldom used in meta-analysis, yet it is a very informa...
Background: The COVID-19 pandemic has had a profound impact on health,
e...
BACKGROUND: Random-effects meta-analysis within a hierarchical normal
mo...
The variance-stabilizing Freeman-Tukey double arcsine transform was
orig...
In Bayesian meta-analysis, the specification of prior probabilities for ...
Meta-analysis methods are used to combine evidence from multiple studies...
The normal-normal hierarchical model (NNHM) constitutes a simple and wid...
Dynamical borrowing of information may be facilitated via shrinkage
esti...
BACKGROUND: An important goal of chronic obstructive pulmonary disease (...
Phase I dose-finding studies aim at identifying the maximal tolerated do...
Contribution to the discussion of "When should meta-analysis avoid makin...
Meta-analyses of clinical trials targeting rare events face particular
c...
Standard random-effects meta-analysis methods perform poorly when applie...
Meta-analytic methods may be used to combine evidence from different sou...
Extrapolation from a source to a target, e.g., from adults to children, ...
The random-effects or normal-normal hierarchical model is commonly utili...