Safety and effectiveness of COVID-19 vaccines during pregnancy is a particular concern
affecting vaccination uptake by this vulnerable group. Here we evaluated evidence from 23 …

Background Procalcitonin is a promising marker for identification of bacterial infections. We
assessed the accuracy and clinical value of procalcitonin for diagnosis of sepsis in critically …

The emergence of Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 made
imperative the need for diagnostic tests that can identify the infection. Although Nucleic Acid …

We set out a generalized linear model framework for the synthesis of data from randomized
controlled trials. A common model is described, taking the form of a linear regression for …

Conventional meta‐analytic techniques rely on the assumption that effect size estimates
from different studies are independent and have sampling distributions with known …

Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by
using a random-effects model, in which the effects underlying different studies are assumed …

BACKGROUND AND OBJECTIVES: Studies of diagnostic accuracy most often report pairs
of sensitivity and specificity. We demonstrate the advantage of using bivariate meta …

This paper sets out a generalised linear model (GLM) framework for the synthesis of data
from randomised controlled trials (RCTs). We describe a common model taking the form of a …

Mixed treatment comparison (MTC) meta‐analysis is a generalization of standard pairwise
meta‐analysis for A vs B trials, to data structures that include, for example, A vs B, B vs C …

READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton,
Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society …