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Initial oxygen concentration for the resuscitation of infants born at less than 32 weeks' gestation: a systematic review and individual participant data network meta …
Importance Resuscitation with lower fractional inspired oxygen (FiO 2) reduces mortality in
term and near-term infants but the impact of this practice on very preterm infants is unclear …
term and near-term infants but the impact of this practice on very preterm infants is unclear …
Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis
Meta‐analyses are an important tool within systematic reviews to estimate the overall effect
size and its confidence interval for an outcome of interest. If heterogeneity between the …
size and its confidence interval for an outcome of interest. If heterogeneity between the …
Bayesian random-effects meta-analysis using the bayesmeta R package
The random-effects or normal-normal hierarchical model is commonly utilized in a wide
range of meta-analysis applications. A Bayesian approach to inference is very attractive in …
range of meta-analysis applications. A Bayesian approach to inference is very attractive in …
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
It is widely recommended that any developed—diagnostic or prognostic—prediction model
is externally validated in terms of its predictive performance measured by calibration and …
is externally validated in terms of its predictive performance measured by calibration and …
Duration and determinants of delayed tuberculosis diagnosis and treatment in high-burden countries: a mixed-methods systematic review and meta-analysis
Background Thirty countries with the highest tuberculosis (TB) burden bear 87% of the
world's TB cases. Delayed diagnosis and treatment are detrimental to TB prognosis and …
world's TB cases. Delayed diagnosis and treatment are detrimental to TB prognosis and …
A comparison of methods for meta‐analysis of a small number of studies with binary outcomes
Meta‐analyses often include only a small number of studies (≤ 5). Estimating between‐
study heterogeneity is difficult in this situation. An inaccurate estimation of heterogeneity can …
study heterogeneity is difficult in this situation. An inaccurate estimation of heterogeneity can …
Consensus building for interlaboratory studies, key comparisons, and meta-analysis
Interlaboratory studies in measurement science, including key comparisons, and meta-
analyses in several fields, including medicine, serve to intercompare measurement results …
analyses in several fields, including medicine, serve to intercompare measurement results …
Heterogeneity in meta-analysis: a comprehensive overview
In recent years, meta-analysis has evolved to a critically important field of Statistics, and has
significant applications in Medicine and Health Sciences. In this work we briefly present …
significant applications in Medicine and Health Sciences. In this work we briefly present …
A Bayesian network meta-analysis of PCSK9 inhibitors, statins and ezetimibe with or without statins for cardiovascular outcomes
Background The comparative effects of statins, ezetimibe with or without statins and
proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitors remain unassessed. Design …
proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitors remain unassessed. Design …
Exact inference on the random‐effects model for meta‐analyses with few studies
We describe an exact, unconditional, non‐randomized procedure for producing confidence
intervals for the grand mean in a normal‐normal random effects meta‐analysis. The …
intervals for the grand mean in a normal‐normal random effects meta‐analysis. The …