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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In the citing paper
“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
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Tang, K., Li, Y., Zhang, Z., Gu, Y., Xiong, Y., Feng, G., He, L., & Qin, S. (2010) · BMC Cancer · doi:10.1186/1471-2407-10-575 · Cited by 44
A new measure of between‐studies heterogeneity in meta‐analysis
Crippa, A., Khudyakov, P., Wang, M., Orsini, N., & Spiegelman, D. L. (2016) · Statistics in Medicine · doi:10.1002/sim.6980 · Cited by 43
Residential magnetic fields and childhood leukemia: a meta-analysis.
Wartenberg, D. E. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.12.1787 · Cited by 42
Khedher, S. B., Neri, M., Papadopoulos, A., Christiani, D. C., Diao, N., Harris, C. C., Olivo‐Marston, S., Schwartz, A. G., Coté, M. L., Koushik, A., et al. (2017) · International Journal of Cancer · doi:10.1002/ijc.30750 · Cited by 41
Fatty acids, biliary bile acids, lipid peroxidation products and gallbladder carcinogenesis
Pandey, M., & Shukla, V. K. (2000) · European Journal of Cancer Prevention · doi:10.1097/00008469-200006000-00003 · Cited by 40
Goldberg, J. F., & Ghaemi, S. N. (2005) · Bipolar Disorders · doi:10.1111/j.1399-5618.2005.00251.x · Cited by 40
Exploring heterogeneity in meta‐analyses: needs, resources and challenges
Xu, H., Platt, R. W., Luo, Z., Wei, S. Q., & Fraser, W. D. (2008) · Paediatric and Perinatal Epidemiology · doi:10.1111/j.1365-3016.2007.00908.x · Cited by 38
Li, D., & He, L. (2007) · Schizophrenia Research · doi:10.1016/j.schres.2007.05.017 · Cited by 37
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Lu, C. F., Hu, B., Bao, M.-M., Wang, C., Bi, C., & Ju, X. (2024) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2023.0324 · Cited by 58
Amezcua‐Prieto, C., Ross, J., Rogozińska, E., Mighiu, P., Martínez‐Ruiz, V., Brohi, K., Bueno‐Cavanillas, A., Khan, K. S., & Thangaratinam, S. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-035562 · Cited by 37
Liang, H., Zhou, H., Li, X., Yin, Z., Guan, P., & Zhou, B. (2009) · International Journal of Cancer · doi:10.1002/ijc.25087 · Cited by 36
Chen, Z., Jia, Q., & Liu, C. (2019) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2019.02.021 · Cited by 39
Wei, W., Chen, X., Ma, X., Wang, D., & Guo, Z. (2015) · Journal of Neuro-Oncology · doi:10.1007/s11060-015-1920-0 · Cited by 34
Gartlehner, G., West, S. L., Mansfield, A. J., Poole, C., Tant, E. M., Lux, L. J., & Lohr, K. N. (2012) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462311000687 · Cited by 33
Chamberlain, C., Joshy, G., Li, H., Oats, J. J. N., Eades, S., & Banks, E. (2014) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2570 · Cited by 33
Yin, J., Li, Y., Yin, M., Sun, J., Liu, L., Qin, Q., Li, X., Long, L., Nie, S., & Wei, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050650 · Cited by 31
Shi, X., Jin, X., Xu, P., & Shen, H. (2014) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2014.15.16.6643 · Cited by 31
Connolly, W., Rafter, N., Conroy, R. M., Stuart, C., Hickey, A., & Williams, D. J. (2021) · BMJ Quality & Safety · doi:10.1136/bmjqs-2020-011122 · Cited by 30
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Wu, M., Liao, T.-Y., Lee, E. M., Chen, Y., Hsu, W., Lee, M.-T. G., Tsou, P., Chen, S., & Lee, C. (2017) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000002451 · Cited by 31
Wang, J., Xiang, B.-X., Song, X., Que, R.-M., Zuo, X., & Xie, Y. (2022) · World Journal of Clinical Cases · doi:10.12998/wjcc.v10.i31.11466 · Cited by 30
Chen, X., Wei, W., Zou, S., Wu, X., Zhou, B., Fu, L., Wang, H., & Shi, J. (2014) · American Journal of Hypertension · doi:10.1093/ajh/hpu026 · Cited by 30
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Weed, D. L. (2001) · Journal of Epidemiology & Community Health · doi:10.1136/jech.55.2.104 · Cited by 30
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Rohling, M. L., & Demakis, G. J. (2006) · The Clinical Neuropsychologist · doi:10.1080/13854040500203324 · Cited by 30
Valsecchi, M. G., & Masera, G. (1996) · Annals of Oncology · doi:10.1093/oxfordjournals.annonc.a010491 · Cited by 30
Xiong, D., Feng, Z., Cen, W., Zeng, J., Liang, L., Tang, R., Gan, X., Liang, H., Li, Z.-Y., Chen, G., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.14756 · Cited by 29
Starr, T. B. (2001) · Toxicological Sciences · doi:10.1093/toxsci/64.1.7 · Cited by 28
The Prognostic Value of Circulating Tumor DNA in Ovarian Cancer: A Meta-Analysis
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Zou, L., Wang, L., Gong, X., Zhao, H., Jiang, A., & Zheng, S. (2013) · Autoimmunity · doi:10.3109/08916934.2013.843672 · Cited by 24
Delgado‐Rodríguez, M. (2001) · Journal of Epidemiology & Community Health · doi:10.1136/jech.55.8.534 · Cited by 24
Tak, L. M., Meijer, A., Manoharan, A., de Jonge, P., & Rosmalen, J. G. M. (2010) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181d714e1 · Cited by 23
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Wartenberg, D. E., Reyner, D., & Scott, C. S. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.108-a543 · Cited by 23
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Thacker, S. B., Peterson, H. B., & Stroup, D. F. (1996) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(96)70580-x · Cited by 22
Okada, E. M. P., Ribeiro, L. N. S., Stuani, M. B. S., Borsatto, M. C., Fidalgo, T. K. D. S., Paula‐Silva, F. W. G., & Küchler, É. C. (2016) · Brazilian Oral Research · doi:10.1590/1807-3107bor-2016.vol30.0115 · Cited by 21
Bennett, D. (2003) · Statistical Methods in Medical Research · doi:10.1191/0962280203sm319ra · Cited by 21
Yin, S., Su, X., So, H. I., Wang, S., Zhang, Z., Xu, Z., & Sun, C. (2019) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2019.08.015 · Cited by 20
Savitz, D. A., & Forastiere, F. (2021) · Occupational and Environmental Medicine · doi:10.1136/oemed-2021-107702 · Cited by 21
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Shimonovich, M., Pearce, A., Thomson, H., McCartney, G., & Katikireddi, S. V. (2022) · Systematic Reviews · doi:10.1186/s13643-022-01892-w · Cited by 17
Bai, S., Xu, Z., Duan, W., Liu, F., Huang, D., & Sun, C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134805 · Cited by 17
Zhou, X., Guan, T., Li, S., Jiao, Z., Lu, X., Huang, X., Ji, Y., & Ji, Q. (2017) · Scientific Reports · doi:10.1038/srep41538 · Cited by 17
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Li, J., Wang, C., Song, J., Chen, N., Jiang, L., Yang, J., & Yan, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-09535-0 · Cited by 15
Tian, F.-S., Li, S., Ren, Y., Zhang, Y., Yin, Z., & Zhou, B. (2014) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2014.15.14.5621 · Cited by 15
Zhao, Y., Chen, Z., Rewuti, A., Ma, Y., Wang, X., Xia, Q., Fu, D., & Han, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071481 · Cited by 14
The association between three promoter polymorphisms of IL-1 and stroke: A meta-analysis
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Berlin, J. A. (2000) · Pharmacoepidemiology · doi:10.1002/0470842555.ch38 · Cited by 14
Zhang, J., Zhu, L., Meng, Q., Wang, Z., & Zhu, H. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07644-z · Cited by 18
Li, Y., Fang, W., Qiu, H., Dong, W., Wang, J., & Bao, H. (2023) · LEUKOS The Journal of the Illuminating Engineering Society of North America · doi:10.1080/15502724.2023.2279946 · Cited by 16
A consumer's guide to meta‐analysis
LaValley, M. P. (1997) · Arthritis & Rheumatism · doi:10.1002/art.1790100309 · Cited by 12
The Association between VEGFR Gene Polymorphisms and Stroke: A Meta-Analysis
Qiu, S., Wu, T., Wang, P., Li, J., Li, Q., & Du, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151371 · Cited by 12
Xu, Y., Ren, J., & Ye, H. (2018) · Gene · doi:10.1016/j.gene.2018.01.069 · Cited by 12
Association between NAT2 polymorphisms and acute leukemia risk
Zhu, X., Liu, Y., Chen, G., Guo, Q., Zhang, Z., Zhao, L., Wei, R., Yin, X., Zhang, Y., Wang, B., et al. (2019) · Medicine · doi:10.1097/md.0000000000014942 · Cited by 12
Matta, M. G., Gupta, S., Alfonso, J. M., Carrero, M. C., Agahari, I., Sabouret, P. F., Gulati, M., Baranchuk, A. M., & García-Zamora, S. (2024) · Public Health · doi:10.1016/j.puhe.2024.06.037 · Cited by 11
Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research
Yang, C., Pinart, M., Kolsteren, P. W., Camp, J. V., Cock, N. D., Nimptsch, K., Pischon, T., Laird, E. J., Perozzi, G., Canali, R., et al. (2017) · Advances in Nutrition · doi:10.3945/an.117.015651 · Cited by 24
Meta-analysis of arterial anastomosis techniques in head and neck free tissue transfer
Wang, Y., Wang, X., Jin, S., Zhang, R., & Gao, Y. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249418 · Cited by 11
Guan, T., Li, T., Cai, W., Huang, D., Ouyang, P., Wang, Y., Chen, H., Wu, K., & Ma, X. (2017) · Oncotarget · doi:10.18632/oncotarget.19682 · Cited by 11
Canada, S., Fisher, S., Bennett, C. L., Hennessy, D. A., Robertson, T., Leyland, A. H., Taljaard, M., Sanmartin, C., Jha, P., Frank, J. W., et al. (2020) · PubMed · doi:10.25318/82-003-x202000700002-eng · Cited by 11
Pharmacogenetics in the postgenomic era.
Aitchison, K. J., & Gill, M. (2003) · American Psychological Association eBooks · doi:10.1037/10480-018 · Cited by 11
Gajic‐Veljanoski, O., Cheung, A. M., Bayoumi, A. M., & TOMLINSON, G. A. (2012) · Medical Decision Making · doi:10.1177/0272989x12453504 · Cited by 10
Association between CYP2E1 genetic polymorphisms and urinary cancer risk: a meta-analysis
Fang, Z., Wu, Y., & Zhang, N. (2017) · Oncotarget · doi:10.18632/oncotarget.20993 · Cited by 10
Understanding Meta-Analysis in Cancer Epidemiology: Dietary Fat and Breast Cancer
Harrison, R. A., & Waterbor, J. W. (1999) · Cancer Detection and Prevention · doi:10.1046/j.1525-1500.1999.09916.x · Cited by 10
Nia, H. S., Heidari, M., Naghavi, N., Lehto, R. H., Haghdoost, A. A., Jafari-Koulaee, A., Matbue, Y. H., Yaghoobzadeh, A., Goudarzian, A. H., & Sharif, S. P. (2020) · OMEGA - Journal of Death and Dying · doi:10.1177/0030222820966934 · Cited by 11
Li, K., Ren, Y., Wan, Y., Yin, Z., Wu, W., & Zhou, B. (2011) · Molecular Biology Reports · doi:10.1007/s11033-011-1012-y · Cited by 9
Effectiveness and safety of bemiparin versus low-molecular weight heparins in orthopaedic surgery.
Ferriols‐Lisart, R., Ferriols-Lisart, F., & Jiménez-Torres, V. (2002) · Pharmacy World & Science · doi:10.1023/a:1016187426582 · Cited by 9
Cheng, M., Tian, Y., Ye, Q., Li, J., Xie, L., & Ding, F. (2025) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-025-08658-0 · Cited by 16
Wu, T., Qiu, S., Wang, P., Li, J., Li, Q., & Du, J. (2016) · Brain and Behavior · doi:10.1002/brb3.482 · Cited by 8
Markozannes, G., Vourli, G., & Ntzani, E. (2021) · Systematic Reviews · doi:10.1186/s13643-021-01726-1 · Cited by 8
Menopausal hormone therapy after breast cancer
Colditz, G. A. (2005) · Breast Cancer Research · doi:10.1186/bcr1272 · Cited by 8
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Teixeira, L., Manarte-Monteiro, P., & Manso, M. C. (2016) · Journal of Dental Sciences · doi:10.1016/j.jds.2016.03.008 · Cited by 8
Liver-specific case fatality due to chronic hepatitis C virus infection: A systematic review
Szabo, S. M., Samp, J. C., Walker, D. R., Lane, S., Cline, S. K., Gooch, K. L., Jiménez‐Méndez, R., & Levy, A. R. (2015) · Annals of Hepatology · doi:10.1016/s1665-2681(19)30756-2 · Cited by 7
D’Andrea, S., Barbonetti, A., Martorella, A., Necozione, S., Francavilla, F., & Francavilla, S. (2018) · International Journal of Clinical Practice · doi:10.1111/ijcp.13296 · Cited by 7
Uric acid and contrast-induced nephropathy: an updated review and meta-regression analysis
Pelliccia, F., Pasceri, V., Patti, G., Marazzi, G., Luca, G. D., Tanzilli, G., Viceconte, N., Speciale, G., Mangieri, E., & Gaudio, C. (2018) · Advances in Interventional Cardiology · doi:10.5114/aic.2018.79870 · Cited by 7
Lan, F., Cao, C., Liu, J., & Li, W. (2015) · Sleep And Breathing · doi:10.1007/s11325-015-1176-0 · Cited by 7
Association of Estrogen Receptor 1 Genetic Polymorphisms with Recurrent Spontaneous Abortion Risk
Yin, X., Ju, H.-M., Guo, Q., Zhao, L., Zhu, X., Wei, R., Zhang, Z., Zhang, Y.-H., Wang, B., & Li, X. (2018) · Chinese Medical Journal · doi:10.4103/0366-6999.237412 · Cited by 7
Meta-analysis and endocrinology.
Petitti, D. B. (1997) · Endocrinology and metabolism clinics of North America (Print) · doi:10.1016/s0889-8529(05)70232-2 · Cited by 7
Bisphenol A and Dental Sealants: Olea's Response
Olea, N. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.108-a546a · Cited by 7
A meta-analysis on the association between three promoter variants of TNF-α and Crohn’s disease
Xie, C., Liu, X. F., & Yang, M. S. (2011) · Molecular Biology Reports · doi:10.1007/s11033-011-0896-x · Cited by 6
Jiang, D., Huang, D., Cai, W., Li, T., Wang, Y., Chen, H., Guan, T., & Ma, X. (2017) · Oncotarget · doi:10.18632/oncotarget.23449 · Cited by 6
A Pointwise Approach to Dose-Response Meta-Analysis of Aggregated Data
Crippa, A., Thomas, I., & Orsini, N. (2018) · International Journal of Statistics in Medical Research · doi:10.6000/1929-6029.2018.07.02.1 · Cited by 6
Lei, Z., Zeng, B., Wu, L., Deng, Q., & Guo, D. (2022) · Endokrynologia Polska · doi:10.5603/ep.a2022.0020 · Cited by 6
Heterogeneity in meta-analyses: Our greatest ally?
Oliveros, H. (2015) · Colombian Journal of Anesthesiology · doi:10.1016/j.rcae.2015.06.001 · Cited by 6
Hu, B., Zhang, H., Wei, H., Wang, Z., Zhang, F., Wang, X., & Li, L. (2017) · Thoracic Cancer · doi:10.1111/1759-7714.12450 · Cited by 6
Zhang, W., Zhou, F., Jiang, D., Mao, Y., & Ye, D. (2020) · Disease Markers · doi:10.1155/2020/8815270 · Cited by 6
Lv, F., Huang, W., & Wang, Y. (2021) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2021.0032 · Cited by 6
GH1 T1663A polymorphism and cancer risk: a meta-analysis of case–control studies
Shi, J. C., Tong, J.-H., & Cai, S. (2014) · Tumor Biology · doi:10.1007/s13277-013-1596-z · Cited by 6
Standardization of terminology in meta‐analysis: a proposal for working definitions
Nony, P., Cucherat, M., Haugh, M., & Boissel, J. (1997) · Fundamental and Clinical Pharmacology · doi:10.1111/j.1472-8206.1997.tb00852.x · Cited by 6
The Promise and Challenges of Dissemination and Implementation Research
Silver, M. I., Colditz, G. A., & Emmons, K. M. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780197660690.003.0001 · Cited by 5
Self-citationRegional Differences in the Use of Out-Patient Services by Stroke Patients after Hospitalisation
Boter, H., de Haan, R. J., & Rinkel, G. J. E. (2004) · European Neurology · doi:10.1159/000082955 · Cited by 5
Collision of evidence and assumptions: TMI déjà view.
Wing, S., & Richardson, D. B. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.108-a546b · Cited by 5
The impact of health promotion policies in schools on oral health in Curitiba, Brazil.
Moysés, S. T. (1999) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 5
Yin, S., Liu, Y., Shi, C., Qiao, Q.-H., Xu, Z., & Feng, C. (2022) · Microsurgery · doi:10.1002/micr.30955 · Cited by 4
Ju, X., Zhang, P.-H., Li, Q., Bai, Q.-Y., Hu, B., Xu, J., & Lu, C. F. (2025) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-025-01303-3 · Cited by 4
Chen, Z., Zhang, X., & Liu, C. (2019) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2019.105569 · Cited by 4
Sunscreens in Melanoma Protection - Pros and Cons
Wille, L., Gefeller, O., & Kölmel, K. F. (1997) · Springer eBooks · doi:10.1007/978-3-642-60771-4_37 · Cited by 4
Matsuo, K., Hotta, K., & Ueoka, H. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.05.273 · Cited by 4
Re: "Collision of Evidence and Assumptions: TMI Déjà View"
Talbott, E., Zhang, A., Youk, A., McHugh-Pemu, K. P., Zborowski, J., & Wakefield, J. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.108-a547 · Cited by 4
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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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