A multilevel model framework for meta-analysis of clinical trials with binary outcomes

Statistics in Medicine

Volumn 19, Issue 24, 2000, Pages 3417-3432

  Turner, Rebecca M ^a   Omar, Rumana Z ^b   Yang, Min ^c   Goldstein, Harvey ^c   Thompson, Simon G ^a  

^a MEDICAL RESEARCH COUNCIL   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DIURETIC AGENT; HISTAMINE H2 RECEPTOR ANTAGONIST;

CLINICAL TRIAL; CONFERENCE PAPER; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIGESTIVE SYSTEM HEMORRHAGE; DIURETIC THERAPY; HUMAN; MAJOR CLINICAL STUDY; META ANALYSIS; MULTICENTER STUDY; OUTCOMES RESEARCH; PREECLAMPSIA; PREGNANCY COMPLICATION; RESPIRATORY TRACT INFECTION; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME;

EID: 0034736559     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/1097-0258(20001230)19:24<3417::AID-SIM614>3.0.CO;2-L     Document Type: Conference Paper

References (50)

1. Controversies in meta-analysis: The case of the trials of serum cholesterol reduction
2. Meta-analysis of clinical trials
3. A likelihood approach to meta-analysis with random effects
4. Incorporating variability in estimates of heterogeneity in the random effects model in meta-analysis
5. A random-effects regression model for meta-analysis
6. Bayesian approaches to random-effects meta-analysis: A comparative study
7. Meta-analysis of published data using a linear mixed-effects model
8. Approximate hierarchical modelling of discrete data in epidemiology
9. Why sources of heterogeneity in meta-analysis should be investigated
10. Investigating underlying risk as a source of heterogeneity in meta-analysis
11. Variation in baseline risk as an explanation of heterogeneity in meta-analysis
12. Detecting and describing heterogeneity in meta-analysis
13. A Bayesian hierarchical survival model for the institutional effects in a multi-centre cancer clinical trial
14. Meta-analysis of multiple outcomes by regression with random effects
15. Modeling and implementation issues in Bayesian meta-analysis
16. Meta-analysis of the literature or of individual patient data: Is there a difference?
17. Meta-analysis using multilevel models with an application to the study of class size effects
18. Can meta-analyses be trusted?
19. A bivariate approach to meta-analysis
20. Meta-analysis in clinical trials
21. Bias in meta-analysis detected by a simple, graphical test
22. Meta-analysis using multilevel models
23. The application of REML in clinical trials
24. Likelihood ratio tests for fixed model terms using residual maximum likelihood
25. Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood
26. Nonlinear multilevel models with an application to discrete response data
27. Approximate inference in generalised linear mixed models
28. Improved approximations for multilevel models with binary responses
29. An assessment of estimation procedures for multilevel models with binary responses
30. Consistent estimators for multilevel generalised linear models using an iterated bootstrap
31. Asymptotically unbiased estimation in generalised linear models with random effects
32. Outliers in multilevel data
33. The population risk as an explanatory variable in research synthesis of clinical trials
34. Multi-level models for repeated measurement data: Application to quality of life data in clinical trials
35. Explaining heterogeneity in meta-analysis: A comparison of methods
36. Meta-analysis by random-effect modelling in generalized linear models
37. Meta-analysis for 2 × 2 tables: A Bayesian approach
38. Borrowing strength from external trials in a meta-analysis
39. A general linear model for estimating effect size in the presence of publication bias
40. A note about models for selectivity bias
41. What works?: Selectivity models and meta analysis