The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A general parametric approach to the meta‐analysis of randomized clinical trials
Abstract
Meta‐analysis provides a systematic and quantitative approach to the summary of results from randomized studies. Whilst many authors have published actual meta‐analyses concerning specific therapeutic questions, less has been published about comprehensive methodology. This article presents a general parametric approach, which utilizes efficient score statistics and Fisher's information, and relates this to different methods suggested by previous authors. Normally distributed, binary, ordinal and survival data are considered. Both the fixed effects and random effects model for treatments are described.
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Citations
Cites
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
The combination of estimates from different experiments
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001666 · Cited by 5,380
Beta blockade during and after myocardial infarction: An overview of the randomized trials
Yusuf, S., Peto, R., Lewis, J., Collins, R., & Sleight, P. (1985) · Progress in Cardiovascular Diseases · doi:10.1016/s0033-0620(85)80003-7 · Cited by 3,205
Cited by
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
A Re-Evaluation of Random-Effects Meta-Analysis
Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2008.00552.x · Cited by 2,569
“A typical classical approach to random-effects meta-analysis (Whitehead and Whitehead, 1991; DerSimonian and Laird, 1986) takes as an estimate of μ the weighted average μ̂=Σ θ̂iω̂i=Σ ω̂i, where ‘inverse variance’ weights are ω̂i = .σ̂2i + τ̂2/−1.”
A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints
Harbord, R. M., Egger, M., & Sterne, J. A. C. (2006) · Statistics in Medicine · doi:10.1002/sim.2380 · Cited by 2,267
Metadata
- Authors
- Whitehead, A., & Whitehead, J.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1991-11
- Volume
- 10
- Issue
- 11
- Pages
- 1665-1677
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2161147823
- Cited by
- 750
- References
- 3
- FWCI
- 13.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
