Journal ArticleDOI
Meta-Analysis in Clinical Trials*
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TLDR
This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.About:
This article is published in Controlled Clinical Trials.The article was published on 1986-09-01. It has received 33234 citations till now. The article focuses on the topics: Study heterogeneity & Meta-analysis.read more
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Systematic review and meta-analysis
TL;DR: In this review the usual methods applied in systematic reviews and meta-analyses are outlined, and the most common procedures for combining studies with binary outcomes are described, illustrating how they can be done using Stata commands.
Journal ArticleDOI
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
Alessandro Liberati,Douglas G. Altman,Jennifer Tetzlaff,Cynthia D. Mulrow,Peter C Gøtzsche,John P. A. Ioannidis,Mike Clarke,Mike Clarke,Philip J. Devereaux,Jos Kleijnen,David Moher +10 more
TL;DR: An Explanation and Elaboration of the PRISMA Statement is presented and updated guidelines for the reporting of systematic reviews and meta-analyses are presented.
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Quantifying heterogeneity in a meta‐analysis
TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
Journal ArticleDOI
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
Alessandro Liberati,Douglas G. Altman,Jennifer Tetzlaff,Cynthia D. Mulrow,Peter C Gøtzsche,John P. A. Ioannidis,Mike Clarke,Philip J. Devereaux,Jos Kleijnen,David Moher +9 more
TL;DR: The meaning and rationale for each checklist item is explained, and an example of good reporting is included and, where possible, references to relevant empirical studies and methodological literature are included.
Journal ArticleDOI
Conducting Meta-Analyses in R with the metafor Package
TL;DR: The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Book
Statistical Methods in Cancer Research
TL;DR: Statistical methods in cancer research as mentioned in this paper, Statistical Methods in Cancer Research, Statistical methods in Cancer research, Statistical methods for cancer research, کتابخانه مرکزی دانشگاه علوم پزش
Journal ArticleDOI
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
TL;DR: In this paper, the authors proposed a restricted maximum likelihood (reml) approach which takes into account the loss in degrees of freedom resulting from estimating fixed effects, and developed a satisfactory asymptotic theory for estimators of variance components.
Journal ArticleDOI
Evidence favoring the use of anticoagulants in the hospital phase of acute myocardial infarction.
TL;DR: The sample sizes in these "negative" papers were too small to protect against missing a 21% reduction in true case fatality rate due to anticoagulation, so all patients who present no specific contraindication should receive antICOagulants during hospitalization for infarction.