Ades, A E

Dias, Sofia

Sutton, Alex J

Welton, Nicky J

English

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A comparison of heterogeneity variance estimators in combining results of studies. Statistics In Medicine

A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis.

A Cost-Effectiveness Analysis of Genetic Testing to Aid Treatment Choice for Smoking Cessation. Nicotine and Tobacco Research

A multilevel model framework for meta-analysis of clinical trials with binary outcomes. Statistics In Medicine

A proposed method of bias adjustment for meta-analyses of published observational studies.

A random effects regression model for meta-analysis. Statistics In Medicine

A re-evaluation of random-effects meta-analysis.

Adressing between-study heterogeneity and inconsistency in mixed treatment comparisons: Application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation. Statistics In Medicine

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Approximate cross-validatory predictive checks in disease mapping models. Stat Med

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

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Bayesian measures of model complexity and fit.

Being sceptical about meta-analyses: a Bayesian perspective on magnesium trials in myocardial infarction.

Bias modelling in evidence synthesis.

Checking consistency in mixed treatment comparison meta analysis. Statistics In Medicine

Cochrane Handbook for Systematic Reviews of

Combining contingency tables with missing dimensions. Biometrics

Controlling ecological bias in evidence synthesis of trials reporting on collapsed and overlapping covariate categories. Statistics In Medicine

Controlling the risk of spurious findings from metaregression. Statistics In Medicine

Correction: Interpretation of random effects meta-analysis in decision models. Med Decis Making,

Covariate heterogeneity in meta-analysis: criteria for deciding between meta-regression and individual patient data. Statistics In Medicine

Development of a combined database for meta-epidemiological research. Res Synth Method

DSU Technical Support Document 2: A generalised linear modelling framework for pair-wise and network meta-analysis. 2011; last updated April 2012; available from http://www.nicedsu.org.uk

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

Empirical Evidence of Bias. Dimensions of Methodological Quality Associated With Estimates of Treatment Effects in Controlled Trials.

Estimation and adjustment of bias in randomised evidence by using Mixed Treatment Comparison Meta-analysis.

Evaluating novel agent effects in multiple treatments meta-regression. Statistics In Medicine

Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods.

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for health and Clinical Excellence. Guide to the methods of technology appraisal (updated

Indirect comparisons of competing interventions. Health Technology Assesment

Individual patientversus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Statistics In Medicine

Intravenous magnesium for acute myocardial infarction. Cochrane Database of Systematic Reviews

Introduction to MetaAnalysis.

Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes. Statistics In Medicine

Investigating underlying risk as a source of heterogeneity in meta-analysis. Statistics In Medicine

Linear inference for Mixed Treatment Comparison Meta-analysis: A Two-stage Approach. Res Synth Method

Meta-analysis methods for combining information from different sources evaluating health interventions. Thesis/Dissertation:

Meta-analysis of a binary outcome using individual participant data and aggregate data. Res Synth Method

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

Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. Clinical Trials

Meta-analysis of individual- and aggregate-level data. Statistics In Medicine

Meta-analysis of ordinal outcomes using individual patient data. Statistics In Medicine

Meta-analysis using multilevel models with an application to the study of class size effects. Applied Statistics

Metaanalysis of continuous outcome data from individual patients. Statistics In Medicine

Metaanalysis of continuous outcomes combining individual patient data and aggregate data. Statistics In Medicine

Misleading meta-analysis.

Mixed Treatment Comparison Meta-Analysis Evaluating the Relative Efficacy of Nucleos(t)ides for Treatment of Nucleos(t)ide-Naive Patients with Chronic Hepatitis B. Value in Health

Models for potentially biased evidence in meta-analysis using empirically based priors.

Multiple treatment comparisons in epilepsy monotherapy trials. Trials

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

Practical methodology of meta-analyses (overviews) using updated individual patient data. Statistics In Medicine

Predictive cross-validation of Bayesian meta-analyses.

Quantifying heterogeneity in a meta-analysis. Statistics In Medicine

Study designs to detect sponsorship and other biases in systematic reviews.

Synthesizing effectiveness evidence from aggregate-and individual-patient level data for use in cost-effectiveness modelling.

The interpretation of random effects meta-analysis in decision models. Med Decis Making,

The population risk as an explanatory variable in research synthesis of clinical trials. Statistics In Medicine

Undue reliance on I2 in assessing heterogeneity may mislead.

Using mixed treatment comparisons and metaregression to perform indirect comparisons to estimate the efficacy of biologic treatments in rheumatoid arthritis. Statistics In Medicine

Why and how sources of heterogeneity should be invesitgated.

Why sources of heterogeneity in meta-analyses should be investigated.

NICE DSU Technical Support Document 3: Heterogeneity: Subgroups, Meta-Regression, Bias and Bias-Adjustment

https://research-information.bris.ac.uk/files/7215570/TSD3_Heterogeneity.final_report.08.05.12.pdf

NICE DSU Technical Support Document 3: Heterogeneity: Subgroups, Meta-Regression, Bias and Bias-Adjustment

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