The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Meta-Analysis of Published Data Using a Linear Mixed-Effects Model
Abstract
This paper describes the use of a linear mixed-effects regression model as a framework for the meta-analysis of published data. It generalizes the random-effects models used by DerSimonian and Laird (1986, Controlled Clinical Trials 7, 177-188) and Begg and Pilote (1991, Biometrics 47, 899-906), and describes the use of the model using examples from these papers and the data given by Tori et al.
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Citations
Cites
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
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“In general, mixed-effects models are effective for integrated analysis of data from different studies (42, 46, 47).”
MethodLohmueller, K. E., Pearce, C. L., Pike, M., Lander, E. S., & Hirschhorn, J. N. (2003) · Nature Genetics · doi:10.1038/ng1071 · Cited by 1,900
Controlling the risk of spurious findings from meta-regression
Higgins, J. P. T., & Thompson, S. G. (2004) · Statistics in Medicine · doi:10.1002/sim.1752 · Cited by 1,267
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Tufanaru, C., Munn, Z., Stephenson, M., & Aromataris, E. (2015) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000065 · Cited by 1,057
Metadata
- Authors
- Stram, D. O.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1996-06
- Volume
- 52
- Issue
- 2
- Pages
- 536
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2317441227
- Cited by
- 158
- References
- 2
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- Stram, D. O. (1996). Meta-Analysis of Published Data Using a Linear Mixed-Effects Model. Biometrics. https://doi.org/10.2307/2532893
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
