The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Heterogeneity in Meta-analysis of Data from Epidemiologic Studies: A Commentary
Abstract
Graham A. Colditz, Elisabeth Burdick, Frederick Mosteller; Heterogeneity in Meta-analysis of Data from Epidemiologic Studies: A Commentary, American Journal of
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“Two articles recommended stratifying by study design if heterogeneity is large and adjusting for study design if heterogeneity is small [51, 77].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“The majority of articles advised against the use of scales but 12 articles recommended their use [29, 30, 48–50, 52, 53, 56, 66, 77, 86, 91].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“Some authors agreed that study design should be investigated as a potential source of between study heterogeneity [8, 34, 42, 77], and others recommended presenting meta-analyses for each study type alongside results from an overall meta-analysis [42, 83].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“One common recommendation was to explore heterogeneity in sensitivity analyses, comparing studies stratified by design or clinical features [12, 16, 29, 34, 39, 51, 55, 56, 66, 77, 85, 100, 102].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“Many recommended to define these subgroups a priori to reduce the risk of false positive findings [33, 52, 77, 106].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“This approach was, however, often criticised because of low power to detect heterogeneity in case of few (< 10) included studies [52, 77, 101, 104, 116, 118].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“Second, the use of a random-effects model for meta-analysis of observational studies by default was frequently recommended [8, 16, 29, 34, 70, 77, 100, 101].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“A common misinterpretation of the random-effects assumption is that the studies themselves are sampled from a population of studies (Hedges, 1987; Anello and Fleiss, 1995; Colditz et al., 1995).”
From A Re-Evaluation of Random-Effects Meta-Analysis (2009) · cites this paper as Colditz et al., 1995
In the citing paper
“This implies that the types of participants, natures of exposures, design aspects, and so on, are randomly selected from a distribution of possibilities, which is an inappropriate interpretation because studies are individually designed dependent on the results of previous studies (Peto, 1987) and the evolutionary process of scientific research (Colditz et al., 1995).”
From A Re-Evaluation of Random-Effects Meta-Analysis (2009) · cites this paper as Colditz et al., 1995
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
Statistical 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
(1963) · Medical Entomology and Zoology · Cited by 15,085
(1979) · Medical Entomology and Zoology · Cited by 11,252
Physical Activity and the Incidence of Coronary Heart Disease
Powell, K. E., Thompson, P. D., Caspersen, C. J., & Kendrick, J. S. (1987) · Annual Review of Public Health · doi:10.1146/annurev.pu.08.050187.001345 · Cited by 1,457
A meta-analysis of physical activity in the prevention of coronary heart disease.
BERLIN, J. A., & COLDITZ, G. A. (1990) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115704 · Cited by 1,382
Self-citationA 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
Meta-Analyses of Randomized Controlled Trials
Sacks, H. S., Berrier, J., Reitman, D., Ancona-Berk, V. A., & Chalmers, T. C. (1987) · New England Journal of Medicine · doi:10.1056/nejm198702193160806 · Cited by 1,257
Yusuf, S. (1991) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1991.03470010097038 · Cited by 1,014
Whittmore, A. S., Harris, R. B., & Itnyre, J. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116427 · Cited by 1,011
A consumer's guide to subgroup analyses
Oxman, A. D., & Guyatt, G. H. (1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-116-1-78 · Cited by 914
A random‐effects regression model for meta‐analysis
Berkey, C. S., Hoaglin, D. C., Mosteller, F. C., & Colditz, G. A. (1995) · Statistics in Medicine · doi:10.1002/sim.4780140406 · Cited by 896
Self-citationRandomized versus historical controls for clinical trials
Sacks, H., Chalmers, T. C., & Smith, H. (1982) · The American Journal of Medicine · doi:10.1016/0002-9343(82)90815-4 · Cited by 834
Colditz, G. A., Berkey, C. S., Mosteller, F. C., Brewer, T. F., Wilson, M. E., Burdick, E., & Fineberg, H. V. (1995) · PEDIATRICS · doi:10.1542/peds.96.1.29 · Cited by 757
Self-citationDietary Factors and Risk of Breast Cancer: Combined Analysis of 12 Case--Control Studies
Howe, G. R., Hirohata, T., Hislop, T. G., Iscovich, J., Yuan, J., Katsouyanni, K., Lubin, F., Marubini, E., Modan, B., Rohan, T. E., et al. (1990) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/82.7.561 · Cited by 748
Incorporating variations in the quality of individual randomized trials into meta-analysis
Detsky, A. S., Naylor, C. D., O'Rourke, K., McGeer, A. J., & L'Abbé, K. A. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90085-2 · Cited by 640
Some Statistical Methods for Combining Experimental Results
Laird, N. M., & Mosteller, F. C. (1990) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462300008916 · Cited by 564
Self-citationMeta-analysis of Epidemiologic Dose-Response Data
Berlin, J. A., Longnecker, M. P., & Greenland, S. (1993) · Epidemiology · doi:10.1097/00001648-199305000-00005 · Cited by 563
Trock, B. J., Lanza, E., & Greenwald, P. (1990) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/82.8.650 · Cited by 548
How study design affects outcomes in comparisons of therapy. I: Medical
Colditz, G. A., Miller, J. N., & Mosteller, F. C. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080408 · Cited by 520
Self-citationMeta-analysis: State-of-the-Science
Dickersin, K., & Berlin, J. A. (1992) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036084 · Cited by 495
Fleiss, J. L., & Gross, A. J. (1991) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(91)90261-7 · Cited by 401
A Meta-analysis of Alcohol Consumption in Relation to Risk of Breast Cancer
Longnecker, M. P. (1988) · JAMA · doi:10.1001/jama.1988.03410050072032 · Cited by 378
Menopausal Estrogen Replacement Therapy and Breast Cancer
Dupont, W. D. (1991) · Archives of Internal Medicine · doi:10.1001/archinte.1991.00400010089011 · Cited by 368
Emerson, J. D., Burdick, E., Hoaglin, D. C., Mosteller, F. C., & Chalmers, T. C. (1990) · Controlled Clinical Trials · doi:10.1016/0197-2456(90)90175-2 · Cited by 243
Self-citationA quantitative assessment of oral contraceptive use and risk of ovarian cancer
Hankinson, S. E., Colditz, G. A., Hunter, D., Spencer, T. L., ROSNER, B. A., & Stampfer, M. J. (1993) · International Journal of Gynecology & Obstetrics · doi:10.1016/0020-7292(93)90732-c · Cited by 210
Self-citationA comparison of prospective and retrospective assessments of diet in the study of breast cancer
Giovannucci, E., stampfer, M. J., Colditz, G. A., Manson, J. E., Rosner, B. A., Longnecker, M., Speizer, F. E., & Willett, W. C. (1993) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116703 · Cited by 207
Self-citationWarner, E., Lockwood, G., Tritchler, D., & Boyd, N. F. (1992) · PubMed · Cited by 202
A meta-analysis of alcoholic beverage consumption in relation to risk of colorectal cancer
Longnecker, M. P., Orza, M. J., Adams, M. E., Vioqué, J., & Chalmers, T. C. (1990) · Cancer Causes & Control · doi:10.1007/bf00053184 · Cited by 193
Carlquist, J. F., Menlove, R. L., Murray, M. B., OʼConnell, J. B., & Anderson, J. L. (1991) · Circulation · doi:10.1161/01.cir.83.2.515 · Cited by 160
Wortman, P. M. (1994) · Cited by 154
W.T.F., Bunker, J. P., Forrest, W. H., Mosteller, F. C., & Vandam, L. D. (1971) · Biometrics · doi:10.2307/2529017 · Cited by 143
Self-citationThe Relationship between Age and the Prevalence of Senile Dementia: A Meta-Analysis of Recent Data
Ritchie, K. A., Kildea, D., & Robine, J. (1992) · International Journal of Epidemiology · doi:10.1093/ije/21.4.763 · Cited by 125
Bollini, P. (1992) · Archives of Internal Medicine · doi:10.1001/archinte.1992.00400180139023 · Cited by 119
Low serum cholesterol and the risk of cancer: an analysis of the published prospective studies
Law, M. R., & Thompson, S. G. (1991) · Cancer Causes & Control · doi:10.1007/bf00052142 · Cited by 119
Coffee and coronary heart disease
Myers, M. G. (1992) · Archives of Internal Medicine · doi:10.1001/archinte.1992.00400210009002 · Cited by 113
Inter‐study differences: How should they influence the interpretation and analysis of results?
Bailey, K. R. (1987) · Statistics in Medicine · doi:10.1002/sim.4780060327 · Cited by 108
Stampfer, M. J., Willett, W. C., Colditz, G. A., Speizer, F. E., & Hennekens, C. H. (1990) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(90)90569-s · Cited by 104
Self-citationLongnecker, M. P., Martin-Moreno, J.-M., Knekt, P., Nomura, A. M. Y., Schober, S. E., Stähelin, H. B., Wald, N., GEY, K. F., & Willett, W. C. (1992) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/84.6.430 · Cited by 104
Deschner, E. E., Lytle, J. S., Wong, G. Y., Ruperto, J. F., & Newmark, H. L. (1990) · Cancer · doi:10.1002/1097-0142(19901201)66:11 · Cited by 96
Self-citationEstimation issues in clinical trials and overviews
Pocock, S., & Hughes, M. D. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090612 · Cited by 87
Recall and selection bias in reporting past alcohol consumption among breast cancer cases
Giovannucci, E. L., Stampfer, M. J., Colditz, G. A., Manson, J. E., ROSNER, B. A., Longnecker, M. P., Speizer, F. E., & Willett, W. C. (1993) · Cancer Causes & Control · doi:10.1007/bf00050863 · Cited by 80
Self-citationVincent, G. M., Janowski, M., & Menlove, R. L. (1991) · Catheterization and Cardiovascular Diagnosis · doi:10.1002/ccd.1810230303 · Cited by 37
The Impact of Stopping Rules on Heterogeneity of Results in Overviews of Clinical Trials
Hughes, M. D., Freedman, L. S., & Pocock, S. (1992) · Biometrics · doi:10.2307/2532737 · Cited by 35
Geographical Variance in the Risk of Gastric Stump Cancer: No Increased Risk in Japan?
Tersmette, A. C., Giardiello, F. M., Offerhaus, G. J. A., Tersmette, K. W. F., Ohara, K., Vandenbroucke, J. P., & Tytgat, G. N. J. (1991) · Japanese Journal of Cancer Research · doi:10.1111/j.1349-7006.1991.tb01841.x · Cited by 30
Oral contraceptives and breast cancer. A meta-analysis.
Delgado‐Rodríguez, M., Sillero‐Arenas, M., Rodríguez-Contreras Pelayo, R., Gigosos, R. M. L., & Vargas, R. G. (1991) · PubMed · Cited by 27
Use of Many Covariates in Clinical Trials
Tukey, J. W. (1991) · International Statistical Review · doi:10.2307/1403439 · Cited by 27
Analysis of clinical trial outcomes: Alternative approaches to subgroup analysis
Schneider, B. (1989) · Controlled Clinical Trials · doi:10.1016/0197-2456(89)90056-1 · Cited by 25
Atypical hyperplasia and breast cancer risk: a critique
Ma, L., & Boyd, N. F. (1992) · Cancer Causes & Control · doi:10.1007/bf00052748 · Cited by 24
Toward a national health care survey: a data system for the 21st century
(1992) · Choice Reviews Online · doi:10.5860/choice.30-2117 · Cited by 23
F., W. T., & Harter, H. L. (1970) · Biometrics · doi:10.2307/2528743 · Cited by 17
Resolving Discrepancies among Studies
Hertz‐Picciotto, I., & Neutra, R. (1994) · Epidemiology · doi:10.1097/00001648-199403000-00005 · Cited by 11
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Lazarou, J., Pomeranz, B. H., & Corey, P. N. (1998) · JAMA · doi:10.1001/jama.279.15.1200 · Cited by 4,807
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 common misinterpretation of the random-effects assumption is that the studies themselves are sampled from a population of studies (Hedges, 1987; Anello and Fleiss, 1995; Colditz et al., 1995).”
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Long-term weight-loss maintenance: a meta-analysis of US studies
Anderson, J. W., Konz, E. C., Frederich, R. C., & Wood, C. L. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/74.5.579 · Cited by 1,351
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Metadata
- Authors
- Colditz, G. A., Burdick, E., & Mosteller, F.
- Affiliations
- Harvard University (US)
- Corresponding author
- Colditz, Graham A.
- ORCID
- Colditz, Graham A.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1995-08-15
- Volume
- 142
- Issue
- 4
- Pages
- 371-382
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2269058722
- Cited by
- 245
- References
- 52
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 10 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 12 · 2016: 8 · 2015: 10 · 2014: 12 · 2013: 7 · 2012: 8
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (HS05936)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- heterogeneity, meta-analysis, epidemiological studies, study heterogeneity, pooled estimates
- MeSH terms
- Epidemiologic Methods, Models, Theoretical, Meta-Analysis as Topic
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