Bayesian meta ‐analysis using SAS PROC BGLIMM
AbstractMeta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for those interested in a Bayesian approach. This paper demonstrates that the recently-developed SAS procedure BGLIMM provides an intuitive and computationally efficient means for conducting Bayesian meta-analysis in SAS, using a worked example of a smoking cessation NMA data...
Source: Research Synthesis Methods - July 21, 2021 Category: Chemistry Authors: Kollin W. Rott,
Lifeng Lin,
James S. Hodges,
Lianne Siegel,
Amy Shi,
Yong Chen,
Haitao Chu Tags: TUTORIAL Source Type: research
Inconsistent results for Peto odds ratios in multi ‐arm studies, network meta‐analysis and indirect comparisons
AbstractThe Peto odds ratio is a well-known effect measure in meta-analysis of binary outcomes. For pairwise comparisons, the Peto odds ratio estimator can be severely biased in the situation of unbalanced sample sizes in the two treatment groups or large treatment effects. In this publication, we evaluate Peto odds ratio estimators in the setting of multi-arm studies and in network meta-analysis using illustrative examples. We observe that Peto odds ratio estimators in a multi-arm study are inconsistent if the observed event probabilities are different or the sample sizes of treatment groups are unbalanced. The same probl...
Source: Research Synthesis Methods - July 13, 2021 Category: Chemistry Authors: Guido Schwarzer,
Orestis Efthimiou,
Gerta R ücker Tags: BRIEF METHOD NOTE Source Type: research
Bayesian meta ‐analysis using SAS PROC BGLIMM
This article is protected by copyright. All rights reserved. (Source: Research Synthesis Methods)
Source: Research Synthesis Methods - July 10, 2021 Category: Chemistry Authors: Kollin W. Rott,
Lifeng Lin,
James S. Hodges,
Lianne Siegel,
Amy Shi,
Yong Chen,
Haitao Chu Tags: TUTORIAL Source Type: research
A Q statistic with constant weights for assessing heterogeneity in meta ‐analysis
AbstractThe conventionalQ statistic, using estimated inverse-variance (IV) weights, underlies a variety of problems in random-effects meta-analysis. In previous work on standardized mean difference and log-odds-ratio, we found superior performance with an estimator of the overall effect whose weights use only group-level sample sizes. TheQ statistic with those weights has the form proposed by DerSimonian and Kacker. The distribution of thisQ and theQ with IV weights must generally be approximated. We investigate approximations for those distributions, as a basis for testing and estimating the between-study variance (τ2). ...
Source: Research Synthesis Methods - July 8, 2021 Category: Chemistry Authors: Elena Kulinskaya,
David C. Hoaglin,
Ilyas Bakbergenuly,
Joseph Newman Tags: RESEARCH ARTICLE Source Type: research
Issue Information
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Source: Research Synthesis Methods - July 7, 2021 Category: Chemistry Tags: ISSUE INFORMATION Source Type: research
Detecting Publication Selection Bias Through Excess Statistical Significance
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Source: Research Synthesis Methods - July 1, 2021 Category: Chemistry Authors: T. D. Stanley,
Hristos Doucouliagos,
John P. A. Ioannidis,
Evan C. Carter Tags: RESEARCH ARTICLE Source Type: research
Meta ‐Regression Methods to Characterize Evidence Strength Using Meaningful‐Effect Percentages Conditional on Study Characteristics
AbstractMeta-regression analyses usually focus on estimating and testing differences in average effect sizes between individual levels of each meta-regression covariate in turn. These metrics are useful but have limitations: they consider each covariate individually, rather than in combination, and they characterize only the mean of a potentially heterogeneous distribution of effects. We propose additional metrics that address both limitations. Given a chosen threshold representing a meaningfully strong effect size, these metrics address the questions: “For a given joint level of the covariates, what percentage of the po...
Source: Research Synthesis Methods - July 1, 2021 Category: Chemistry Authors: Maya B. Mathur,
Tyler J. VanderWeele Tags: RESEARCH ARTICLE Source Type: research
Methods for Population Adjustment with Limited Access to Individual Patient Data: A Review and Simulation Study
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Source: Research Synthesis Methods - July 1, 2021 Category: Chemistry Authors: Antonio Remiro ‐Azócar,
Anna Heath,
Gianluca Baio Tags: RESEARCH ARTICLE Source Type: research
Response to: Briscoe “Exploring the relevance of the effect of geographical location when searching for studies using Google Search”
(Source: Research Synthesis Methods)
Source: Research Synthesis Methods - June 25, 2021 Category: Chemistry Authors: Chris Cooper,
Theo Lorenc Tags: LETTER TO THE EDITOR Source Type: research
Including non ‐English language articles in systematic reviews: A reflection on processes for identifying low‐cost sources of translation support
This article is protected by copyright. All rights reserved. (Source: Research Synthesis Methods)
Source: Research Synthesis Methods - June 25, 2021 Category: Chemistry Authors: Lauren Rockliffe Tags: DISCUSSION PAPER Source Type: research
ABCMETAapp: R shiny application for simulation ‐based estimation of mean and standard deviation for meta‐analysis via approximate Bayesian computation
AbstractIn meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are reported such as median, minimum, maximum, quartiles, and study sample size. Based on available summary statistics, we need to estimate estimates of mean and standard deviation for meta-analysis. We developed an R Shiny code based on approximate Bayesian computation (ABC),...
Source: Research Synthesis Methods - June 25, 2021 Category: Chemistry Authors: Deukwoo Kwon,
Roopesh Reddy Sadashiva Reddy,
Isildinha M. Reis Tags: Computational Tools and Methods Source Type: research
Exploring the relevance of the effect of geographical location when searching for studies using Google Search
(Source: Research Synthesis Methods)
Source: Research Synthesis Methods - June 25, 2021 Category: Chemistry Authors: Simon Briscoe Tags: Letter to the Editor Source Type: research
Using clinical trial registries to inform Copas selection model for publication bias in meta ‐analysis
This article is protected by copyright. All rights reserved. (Source: Research Synthesis Methods)
Source: Research Synthesis Methods - June 25, 2021 Category: Chemistry Authors: Ao Huang,
Sho Komukai,
Tim Friede,
Satoshi Hattori Tags: RESEARCH ARTICLE Source Type: research
Adherence to conflicts of interest policy in Cochrane reviews where authors are also editorial board members: a cross ‐sectional analysis
This article is protected by copyright. All rights reserved. (Source: Research Synthesis Methods)
Source: Research Synthesis Methods - June 24, 2021 Category: Chemistry Authors: Rafael Leite Pacheco,
Carolina Oliveira Cruz Latorraca,
Ana Luiza Cabrera Martimbianco,
Enderson Miranda,
Luis Eduardo Santos Fontes,
David Nunan,
Rachel Riera Tags: RESEARCH ARTICLE Source Type: research
