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Cochrane Handbook for Systematic Reviews of Interventions

Second edition, 2019

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Graphical tools for network meta-analysis in STATA

PloS one, 2013-10, Vol.8 (10), p.e76654-e76654

2013

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Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

Research synthesis methods, 2021-01, Vol.12 (1), p.55-61

2021

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Evaluating the quality of evidence from a network meta-analysis

PloS one, 2014-07, Vol.9 (7), p.e99682-e99682

2014

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CINeMA: An approach for assessing confidence in the results of a network meta-analysis

PLoS medicine, 2020-04, Vol.17 (4), p.e1003082-e1003082

2020

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ROBIS: A new tool to assess risk of bias in systematic reviews was developed

Journal of clinical epidemiology, 2016, Vol.69, p.225-234

2016

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Introduction to Meta-Analysis

1. Aufl., 2011

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Conceptual and technical challenges in network meta-analysis

Annals of internal medicine, 2013-07, Vol.159 (2), p.130

2013

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Empirical Evidence of Study Design Biases in Randomized Trials: Systematic Review of Meta-Epidemiological Studies

PloS one, 2016-07, Vol.11 (7), p.e0159267-e0159267

2016

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Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement

JAMA : the journal of the American Medical Association, 2021-10, Vol.326 (16), p.1614

2021

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The Prevalence of Non-Alcoholic Fatty Liver Disease in Children and Adolescents: A Systematic Review and Meta-Analysis

PloS one, 2015-10, Vol.10 (10), p.e0140908-e0140908

2015

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A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses

Research synthesis methods, 2019-03, Vol.10 (1), p.83-98

2019

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The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews

PloS one, 2013-03, Vol.8 (3), p.e59202-e59202

2013

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Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data

Journal of clinical epidemiology, 2015, Vol.68 (1), p.52-60

2015

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A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered

Journal of clinical epidemiology, 2009-08, Vol.62 (8), p.857-864

2009

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Long-term interleukin-6 levels and subsequent risk of coronary heart disease: two new prospective studies and a systematic review

PLoS medicine, 2008-04, Vol.5 (4), p.e78-e78

2008

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Meta-Analysis and Subgroups

Prevention science, 2013-04, Vol.14 (2), p.134-143

2013

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Considerations in boosting COVID-19 vaccine immune responses

The Lancet (British edition), 2021-10, Vol.398 (10308), p.1377-1380

2021

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Evaluation of inconsistency in networks of interventions

International journal of epidemiology, 2013-02, Vol.42 (1), p.332-345

2013

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Additional considerations are required when preparing a protocol for a systematic review with multiple interventions

Journal of clinical epidemiology, 2017-03, Vol.83, p.65-74

2017

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Synthesizing evidence on complex interventions: how meta-analytical, qualitative, and mixed-method approaches can contribute

Journal of clinical epidemiology, 2013-11, Vol.66 (11), p.1230-1243

2013

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re-evaluation of random-effects meta-analysis

Journal of the Royal Statistical Society. Series A, Statistics in society, 2009-01, Vol.172 (1), p.137-159

2009

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Association Between Administration of Systemic Corticosteroids and Mortality Among Critically Ill Patients With COVID-19: A Meta-analysis

JAMA : the journal of the American Medical Association, 2020-10, Vol.324 (13), p.1330

2020

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Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression

Research synthesis methods, 2012-06, Vol.3 (2), p.111-125

2012

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Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis

Research synthesis methods, 2019-03, Vol.10 (1), p.23-43

2019

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Cochrane Handbook for Systematic Reviews of Interventions

Graphical tools for network meta-analysis in STATA

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

Evaluating the quality of evidence from a network meta-analysis

CINeMA: An approach for assessing confidence in the results of a network meta-analysis

ROBIS: A new tool to assess risk of bias in systematic reviews was developed

Introduction to Meta-Analysis

Conceptual and technical challenges in network meta-analysis

Empirical Evidence of Study Design Biases in Randomized Trials: Systematic Review of Meta-Epidemiological Studies

Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement

The Prevalence of Non-Alcoholic Fatty Liver Disease in Children and Adolescents: A Systematic Review and Meta-Analysis

A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses

The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews

Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data

A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered

Long-term interleukin-6 levels and subsequent risk of coronary heart disease: two new prospective studies and a systematic review

Meta-Analysis and Subgroups

Considerations in boosting COVID-19 vaccine immune responses

Evaluation of inconsistency in networks of interventions

Additional considerations are required when preparing a protocol for a systematic review with multiple interventions

Synthesizing evidence on complex interventions: how meta-analytical, qualitative, and mixed-method approaches can contribute

re-evaluation of random-effects meta-analysis

Association Between Administration of Systemic Corticosteroids and Mortality Among Critically Ill Patients With COVID-19: A Meta-analysis

Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression

Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis

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