Projects per year
Abstract
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 for both fixed and random effects synthesis, which can be implemented with normal, binomial, Poisson, and multinomial data. The familiar logistic model for metaanalysis with binomial data is a generalized linear model with a logit link function, which is appropriate for probability outcomes. The same linear regression framework can be applied to continuous outcomes, rate models, competing risks, or ordered category outcomes by using other link functions, such as identity, log, complementary loglog, and probit link functions. The common core model for the linear predictor can be applied to pairwise metaanalysis, indirect comparisons, synthesis of multiarm trials, and mixed treatment comparisons, also known as network metaanalysis, without distinction. We take a Bayesian approach to estimation and provide WinBUGS program code for a Bayesian analysis using Markov chain Monte Carlo simulation. An advantage of this approach is that it is straightforward to extend to shared parameter models where different randomized controlled trials report outcomes in different formats but from a common underlying model. Use of the generalized linear model framework allows us to present a unified account of how models can be compared using the deviance information criterion and how goodness of fit can be assessed using the residual deviance. The approach is illustrated through a range of worked examples for commonly encountered evidence formats.
Original language  English 

Pages (fromto)  607617 
Number of pages  11 
Journal  Medical Decision Making 
Volume  33 
Issue number  5 
Early online date  26 Oct 2012 
DOIs  
Publication status  Published  Jul 2013 
Keywords
 generalized linear model
 network metaanalysis
 indirect evidence
 metaanalysis
 mixed treatment comparison
 clinical trials
 binary outcomes
 consistency
 tables
Projects
 2 Finished


COLLABORATION AND INNOVATION IN DIFFICULT OR RANDOMISED CONTROLLED TRIALS
1/04/09 → 1/04/14
Project: Research
Activities

37th Annual Conference, International Society for Clinical Biostatistics
Sofia Dias (Speaker)
21 Aug 2016 → 25 Aug 2016Activity: Participating in or organising an event types › Invited talk

HEOR Indirect: Comparaciones indirectas entre fármacos. Metodología y aplicación.
Sofia Dias (Speaker)
3 Nov 2015Activity: Participating in or organising an event types › Invited talk

INSERM Workshop 234: Network metaanalysis
Sofia Dias (Invited speaker)
4 Jun 2015Activity: Participating in or organising an event types › Participation in workshop, seminar, course