Search
Now showing items 11-16 of 16
Overconfident results with the bivariate random effects model for meta-analysis of diagnostic accuracy studies
(
Wiley
, 2022 , Other)
Meta-analyses of diagnostic accuracy studies are a fundamental component of evidence-based medicine, and they are extensively used in medical imaging and the clinical laboratory. Techniques specifically developed to combine ...
Prevalence and determinants of symptomatic COVID-19 infection among children and adolescents in Qatar: A cross sectional analysis of 11445 individuals.
(
Cambridge University Press
, 2021 , Article)
There is a paucity of evidence about the prevalence and risk factors for symptomatic infection among children. This study aimed to describe the prevalence of symptomatic COVID-19 and its risk factors in children and ...
Controversy and Debate: Questionable utility of the relative risk in clinical research: Paper 1: A call for change to practice
(
Elsevier
, 2020 , Article)
Background and Objectives
In clinical trials, the relative risk or risk ratio (RR) is a mainstay of reporting of the effect magnitude for an intervention. The RR is the ratio of the probability of an outcome in an ...
Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial
(
Elsevier
, 2023 , Article)
BackgroundData extraction is the foundation for research synthesis evidence, while data extraction errors frequently occur in the literature. An interesting phenomenon was observed that data extraction error tend to be ...
Influence of lack of blinding on the estimation of medication-related harms: a retrospective cohort study of randomized controlled trials.
(
Springer Nature
, 2024 , Article)
Empirical evidence suggests that lack of blinding may be associated with biased estimates of treatment benefit in randomized controlled trials, but the influence on medication-related harms is not well-recognized. We aimed ...
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 ...