Pages that link to "Item:Q1731219"
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The following pages link to Efficient network meta-analysis: a confidence distribution approach (Q1731219):
Displaying 18 items.
- Network meta‐analysis of multicomponent interventions (Q57551) (← links)
- A confidence distribution approach to inferring the among-group variance component in one-way random effects model with unequal error variances (Q254208) (← links)
- On an inferential model construction using generalized associations (Q1698998) (← links)
- Prediction with confidence -- a general framework for predictive inference (Q1699001) (← links)
- Conditional fiducial models (Q1699002) (← links)
- Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis (Q2078292) (← links)
- Meta-analytic Gaussian network aggregation (Q2141634) (← links)
- Erratum to: ``Meta-analytic Gaussian network aggregation'' (Q2141664) (← links)
- Joint integrative analysis of multiple data sources with correlated vector outcomes (Q2170424) (← links)
- Using conditional power of network meta-analysis (NMA) to inform the design of future clinical trials (Q2931057) (← links)
- A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects (Q3119875) (← links)
- Integrated evaluation of targeted and non‐targeted therapies in a network meta‐analysis (Q3299077) (← links)
- Extensions of the probabilistic ranking metrics of competing treatments in network meta‐analysis to reflect clinically important relative differences on many outcomes (Q3299107) (← links)
- A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis (Q4999158) (← links)
- Network meta-analysis: a statistical physics perspective (Q5055392) (← links)
- <i>i</i>Fusion: Individualized Fusion Learning (Q5120662) (← links)
- Confidence Distributions and a Unifying Framework for Meta-Analysis (Q5256423) (← links)
- Nonparametric Fusion Learning for Multiparameters: Synthesize Inferences From Diverse Sources Using Data Depth and Confidence Distribution (Q6110722) (← links)
