A. E. Ades

Checking consistency in mixed treatment comparison meta‐analysis

Abstract Pooling of direct and indirect evidence from randomized trials, known as mixed treatment comparisons (MTC), is becoming increasingly common in the clinical literature. ...

Combination of direct and indirect evidence in mixed treatment comparisons

Abstract Mixed treatment comparison (MTC) meta‐analysis is a generalization of standard pairwise meta‐analysis for A vs B trials, to data structures that include, for example, A...

Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studies

Meta‐analyses that simultaneously compare multiple treatments (usually referred to as network meta‐analyses or mixed treatment comparisons) are becoming increasingly common. An ...

Simultaneous comparison of multiple treatments: combining direct and indirect evidence

How can policy makers decide which of five treatments is the best? Standard meta-analysis provides little help but evidence based decisions are possible

Evidence Synthesis for Decision Making 2

We set out a generalized linear model framework for the synthesis of data from randomized controlled trials. A common model is described, taking the form of a linear regression ...

Assessing Evidence Inconsistency in Mixed Treatment Comparisons

Randomized comparisons among several treatments give rise to an incomplete-blocks structure known as mixed treatment comparisons (MTCs). To analyze such data structures, it is c...

Evidence Synthesis for Decision Making 4

Inconsistency can be thought of as a conflict between “direct” evidence on a comparison between treatments B and C and “indirect” evidence gained from AC and AB trials. Like het...

Evidence Synthesis for Decision Making 3

In meta-analysis, between-study heterogeneity indicates the presence of effect-modifiers and has implications for the interpretation of results in cost-effectiveness analysis an...

Modeling between-trial variance structure in mixed treatment comparisons

In mixed treatment comparison (MTC) meta-analysis, modeling the heterogeneity in between-trial variances across studies is a difficult problem because of the constraints on the ...

Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study

Network Meta-Analysis with Competing Risk Outcomes

Novel methods to deal with publication biases: secondary analysis of antidepressant trials in the FDA trial registry database and related journal publications

Novel contour enhanced funnel plots and a regression based adjustment method worked convincingly and might have an important part to play in combating publication biases.