Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects. - Wikidata - awgldk - TriplyDB

Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects.

Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects.

http://www.wikidata.org/entity/Q40481787

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Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models.Two new methods to fit models for network meta-analysis with random inconsistency effects Paule-Mandel estimators for network meta-analysis with random inconsistency effects.Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples.A comparison of 7 random-effects models for meta-analyses that estimate the summary odds ratio.A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations.A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects.A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis Hypothesis testing in Bayesian network meta-analysis

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P2860

Extending DerSimonian and Laird's methodology to perform network meta-analyses with random inconsistency effects.

http://www.wikidata.org/entity/Q40481787

description

2015 nî lūn-bûn

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2015年の論文

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年学术文章

@zh-my

2015年学术文章

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2015年學術文章

@yue

2015年學術文章

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2015年學術文章

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name

Extending DerSimonian and Lair ...... random inconsistency effects.

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type

label

Extending DerSimonian and Lair ...... random inconsistency effects.

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Extending DerSimonian and Lair ...... random inconsistency effects.

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Statistics in Medicine

P1476

Extending DerSimonian and Lair ...... random inconsistency effects.

@en

P2093

Dan Jackson

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Ian R White

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Jessica K Barrett

http://www.w3.org/2001/XMLSchema#string

Martin Law

http://www.w3.org/2001/XMLSchema#string

Rebecca Turner

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P2860

Topical antibiotics without steroids for chronically discharging ears with underlying eardrum perforations

Quantifying heterogeneity in a meta-analysis

Meta-analysis in clinical trials

Quantifying the impact of between-study heterogeneity in multivariate meta-analyses

A graphical tool for locating inconsistency in network meta-analyses.

Extending DerSimonian and Laird's methodology to perform multivariate random effects meta-analyses.

Evaluation of inconsistency in networks of interventions

Network meta-analysis-highly attractive but more methodological research is needed

A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression

Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models.

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819-839

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scholarly article

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10.1002/SIM.6752

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6

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35

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Georgia Salanti

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2015-09-30T00:00:00Z

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26423209

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