A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations

Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

(2017) Daniel Simpson et al.   STATISTICAL SCIENCE

Bayesian Computing with INLA: A Review

(2017) Håvard Rue et al.   Annual Review of Statistics and Its Application

Paule-Mandel estimators for network meta-analysis with random inconsistency effects

(2017) Dan Jackson et al.   Research Synthesis Methods

Two new methods to fit models for network meta-analysis with random inconsistency effects

(2016) Martin Law et al.   BMC Medical Research Methodology

Quasi-complete separation in random effects of binary response mixed models

(2016) Rafael Sauter et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Exploratory Network Meta Regression Analysis of Stroke Prevention in Atrial Fibrillation Fails to Identify Any Interactions with Treatment Effect

(2016) Sarah Batson et al.   PLoS One

Network meta-analysis with integrated nested Laplace approximations

(2015) Rafael Sauter et al.   BIOMETRICAL JOURNAL

Network meta-analysis: a norm for comparative effectiveness?

(2015) Julian P T Higgins et al.   LANCET

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

(2015) Dan Jackson et al.   STATISTICS IN MEDICINE

Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions

(2015) Sander Greenland et al.   STATISTICS IN MEDICINE

Improving the INLA approach for approximate Bayesian inference for latent Gaussian models

(2015) Egil Ferkingstad et al.   Electronic Journal of Statistics

The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysis

(2015) Dan Jackson et al.   Research Synthesis Methods

Rejoinder to the discussion of “a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons,” by S. Dias and A. E. Ades

(2015) Hwanhee Hong et al.   Research Synthesis Methods

‘Arm-based’ parameterization for network meta-analysis

(2015) Neil Hawkins et al.   Research Synthesis Methods

Absolute or relative effects? Arm-based synthesis of trial data

(2015) S. Dias et al.   Research Synthesis Methods

Network-meta analysis made easy: detection of inconsistency using factorial analysis-of-variance models

(2014) Hans-Peter Piepho   BMC Medical Research Methodology

Bayesian estimation with integrated nested Laplace approximation for binary logit mixed models

(2014) L. Grilli et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Extending Integrated Nested Laplace Approximation to a Class of Near-Gaussian Latent Models

(2014) Thiago G. Martins et al.   SCANDINAVIAN JOURNAL OF STATISTICS

A design-by-treatment interaction model for network meta-analysis with random inconsistency effects

(2014) Dan Jackson et al.   STATISTICS IN MEDICINE

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

(2014) M. A. Puhan et al.   BMJ-British Medical Journal

Bayesian computing with INLA: New features

(2013) Thiago G. Martins et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Issues in performing a network meta-analysis

(2012) Stephen Senn et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

(2012) J. P. T. Higgins et al.   Research Synthesis Methods

Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool

(2012) Georgia Salanti   Research Synthesis Methods

Bayesian bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximations

(2010) M. Paul et al.   STATISTICS IN MEDICINE

Checking consistency in mixed treatment comparison meta-analysis

(2010) S. Dias et al.   STATISTICS IN MEDICINE

A weakly informative default prior distribution for logistic and other regression models

(2009) Andrew Gelman et al.   Annals of Applied Statistics

Bayesian inference for generalized linear mixed models

(2009) Y. Fong et al.   BIOSTATISTICS

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: Application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation

(2009) Nicola J. Cooper et al.   STATISTICS IN MEDICINE

The BUGS project: Evolution, critique and future directions

(2009) David Lunn et al.   STATISTICS IN MEDICINE

A re-evaluation of random-effects meta-analysis

(2008) Julian P. T. Higgins et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Flexible parametric models for random-effects distributions

(2008) Katherine J. Lee et al.   STATISTICS IN MEDICINE