Journal ArticleDOI
Meta-analysis by random effect modelling in generalized linear models.
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TLDR
This paper argues for the general use of random effect models, and illustrates the value of non-parametric maximum likelihood (NPML) analysis of multi-centre trials.Abstract:
The meta-analysis of multi-centre trials can be based on either fixed or random effect models. This paper argues for the general use of random effect models, and illustrates the value of non-parametric maximum likelihood (NPML) analysis of such trials. The same general approach unifies administrative 'league table' analyses in epidemiological and other studies. Several examples of the NPML analysis are given, including a 70-centre trial.read more
Citations
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Journal ArticleDOI
A re-evaluation of random-effects meta-analysis
TL;DR: It is suggested that random-effects meta-analyses as currently conducted often fail to provide the key results, and the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods is investigated.
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Recent developments in meta‐analysis
TL;DR: Highlights of recent developments in meta‐analysis in medical research are reviewed, outlining in particular how emphasis has been placed on heterogeneity and random‐effects analyses and extension of ideas to complex evidence synthesis.
Journal ArticleDOI
Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness.
TL;DR: Some of the common methodological issues that arise when conducting systematic reviews and meta-analyses of effectiveness data are discussed, including issues related to study designs, meta-analysis, and the use and interpretation of effect sizes.
Journal ArticleDOI
FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
Bettina Grün,Friedrich Leisch +1 more
TL;DR: The functionality of the Flexmix package was enhanced and concomitant variable models as well as varying and constant parameters for the component specific generalized linear regression models can be fitted.
Journal ArticleDOI
Meta-analyses of molecular association studies: methodologic lessons for genetic epidemiology.
TL;DR: A systematically reviewed all meta-analyses of molecular association studies identified via MEDLINE, finding a need for greater communication between epidemiologists and geneticists to develop methods appropriate to this area.
References
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Journal ArticleDOI
Handbook of Mathematical Functions
Book
Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Journal ArticleDOI
Approximate inference in generalized linear mixed models
Norman E. Breslow,D. G. Clayton +1 more
TL;DR: In this paper, generalized linear mixed models (GLMM) are used to estimate the marginal quasi-likelihood for the mean parameters and the conditional variance for the variances, and the dispersion matrix is specified in terms of a rank deficient inverse covariance matrix.
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Beta blockade during and after myocardial infarction: an overview of the randomized trials
TL;DR: The aim has been not only to review the 65-odd randomized beta blocker trials but also to demonstrate that when many randomized trials have all applied one general approach to treatment, it is often not appropriate to base inference on individual trial results.
Journal ArticleDOI
A method for minimizing the impact of distributional assumptions in econometric models for duration data
TL;DR: In this article, a nonparametric maximum likelihood estimator for the distribution of unobservables and a computational strategy for implementing it is developed. But the estimator does not account for population variation in observed and unobserved variables unless it is assumed that individuals are homogeneous.