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Interpretation of random effects meta-analyses

BMJ, 2011-02, Vol.342 (feb10 2), p.d549-d549

International edition, 2011

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Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

BMJ, 2011-07, Vol.343 (7818), p.d4002-d4002

International edition, 2011

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Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline

BMJ (Online), 2020-01, Vol.368, p.l6890

2020

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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

BMJ, 2009-07, Vol.339 (7716), p.b2535-b2535

International edition, 2009

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AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both

BMJ (Online), 2017-09, Vol.358, p.j4008

2017

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Meta-analysis of individual participant data: rationale, conduct, and reporting

BMJ, 2010-02, Vol.340 (7745), p.521-525

International edition, 2010

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A guide to systematic review and meta-analysis of prognostic factor studies

BMJ (Online), 2019-01, Vol.364, p.k4597

2019

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Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

BMJ (Online), 2015-01, Vol.350 (jan02 1), p.g7647-g7647

2015

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Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey

BMJ, 2012-01, Vol.344 (jan03 1), p.d7762-d7762

International edition, 2012

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Overlapping meta-analyses on the same topic: survey of published studies

BMJ (Online), 2013-07, Vol.347 (jul19 1), p.f4501-f4501

International edition, 2013

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Uncertainty in heterogeneity estimates in meta-analyses

BMJ, 2007-11, Vol.335 (7626), p.914-916

International edition, 2007

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A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis

BMJ (Online), 2014-09, Vol.349 (sep24 5), p.g5630-g5630

2014

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A guide to systematic review and meta-analysis of prediction model performance

BMJ (Online), 2017-01, Vol.356, p.i6460

2017

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Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study

BMJ (British Medical Journal), 2008-03, Vol.336 (7644), p.601-605

International edition, 2008

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External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

BMJ (Online), 2016-06, Vol.353, p.i3140

2016

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Sodium-glucose cotransporter protein-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists for type 2 diabetes: systematic review and network meta-analysis of randomised controlled trials

BMJ (Online), 2021-01, Vol.372, p.m4573

2021

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Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?

BMJ (Online), 2017-03, Vol.356, p.j573

2017

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Effectiveness of heterologous and homologous covid-19 vaccine regimens: living systematic review with network meta-analysis

BMJ (Online), 2022-05, Vol.377, p.e069989

2022

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Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples

BMJ (Online), 2017-09, Vol.358, p.j3932

2017

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Drug treatments for covid-19: living systematic review and network meta-analysis

BMJ (Online), 2020-07, Vol.370, p.m2980

2020

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Effect of reporting bias on meta-analyses of drug trials: reanalysis of meta-analyses

BMJ, 2012-01, Vol.344 (jan03 1), p.d7202-d7202

International edition, 2012

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Interpretation of random effects meta-analyses

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline

PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both

Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist

Meta-analysis of individual participant data: rationale, conduct, and reporting

A guide to systematic review and meta-analysis of prognostic factor studies

Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey

Overlapping meta-analyses on the same topic: survey of published studies

Uncertainty in heterogeneity estimates in meta-analyses

A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis

A guide to systematic review and meta-analysis of prediction model performance

Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Sodium-glucose cotransporter protein-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists for type 2 diabetes: systematic review and network meta-analysis of randomised controlled trials

Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?

Comparison of dietary macronutrient patterns of 14 popular named dietary programmes for weight and cardiovascular risk factor reduction in adults: systematic review and network meta-analysis of randomised trials

Effectiveness of heterologous and homologous covid-19 vaccine regimens: living systematic review with network meta-analysis

Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples

Drug treatments for covid-19: living systematic review and network meta-analysis

Effect of reporting bias on meta-analyses of drug trials: reanalysis of meta-analyses

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