The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Some Statistical Methods for Combining Experimental Results
Abstract
Advances in science and technology are generally the product of multiple investigations. This article discusses statistical methods for combining empirical results from a series of different experiments or clinical investigations. We delineate the steps an assessor might take in combining data from different studies and provide references for topics not discussed in detail. The article reviews some of the most commonly used statistical techniques for combining results in the medical and social sciences. The expression meta-analysis refers to the practice of using statistical methods to combine the outcomes of a series of different experiments or investigations. The terminology arises because a meta-analysis uses a study as the unit of observation, and, thus, the data point for each study is itself a statistical summary based on an analysis of primary data.
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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
Self-citationStatistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
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The file drawer problem and tolerance for null results.
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The combination of estimates from different experiments
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001666 · Cited by 5,380
Some Methods for Strengthening the Common χ 2 Tests
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001616 · Cited by 3,718
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
QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1
GREENLAND, S. (1987) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036298 · Cited by 1,644 · cited 1×
“It may sometimes be feasible to adjust individual study outcomes for bias, prior to combining (24), but we are far from having generally accepted methods for adjustment for study quality or bias.”
BackgroundFreiman, J. A., Chalmers, T. C., Smith, H., & Kuebler, R. R. (1978) · New England Journal of Medicine · doi:10.1056/nejm197809282991304 · Cited by 1,628
A method for assessing the quality of a randomized control trial
Chalmers, T. C., Smith, H., Blackburn, B., Silverman, B., Schroeder, B., Reitman, D., & Ambroz, A. (1981) · Controlled Clinical Trials · doi:10.1016/0197-2456(81)90056-8 · Cited by 1,349
Cited by
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Meta-analysis in clinical trials revisited
DerSimonian, R., & Laird, N. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.09.002 · Cited by 2,677
Self-citationQuantitative Synthesis in Systematic Reviews
Lau, J., Ioannidis, J. P. A., & Schmid, C. H. (1997) · Annals of Internal Medicine · doi:10.7326/0003-4819-127-9-199711010-00008 · Cited by 2,517
Cognitive and Behavioral Outcomes of School-Aged Children Who Were Born Preterm: A Meta-analysis
Bhutta, A. T., Cleves, M. A., Casey, P. H., Cradock, M. M., & Anand, K. J. S. (2002) · JAMA · doi:10.1001/jama.288.6.728 · Cited by 2,392
Meta-Analysis of the Effects of Soy Protein Intake on Serum Lipids
Anderson, J. W., Johnstone, B. M., & Cook-Newell, M. E. (1995) · New England Journal of Medicine · doi:10.1056/nejm199508033330502 · Cited by 2,048
Metadata
- Authors
- Laird, N. M., & Mosteller, F.
- Venue
- International Journal of Technology Assessment in Health Care
- Publisher
- Cambridge University Press (CUP)
- Published
- 1990-01
- Volume
- 6
- Issue
- 1
- Pages
- 5-30
- ISSN
- 0266-4623 (ISSN-L)
- 1471-6348
- OpenAlex
- W2155053630
- Cited by
- 568
- References
- 13
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Laird, N. M., & Mosteller, F. (1990). Some Statistical Methods for Combining Experimental Results. International Journal of Technology Assessment in Health Care. https://doi.org/10.1017/s0266462300008916
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.
