{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:53:19Z","timestamp":1760151199593,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T00:00:00Z","timestamp":1645574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["U2CES026555-01","1U2CES026560-01","P30ES023515"],"award-info":[{"award-number":["U2CES026555-01","1U2CES026560-01","P30ES023515"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01ES015359","UG3OD023365","UH3OD023365","P30ES023513","P01ES011269","U54HD079125"],"award-info":[{"award-number":["R01ES015359","UG3OD023365","UH3OD023365","P30ES023513","P01ES011269","U54HD079125"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000139","name":"Environmental Protection Agency","doi-asserted-by":"publisher","award":["R829388","R833292","RD83543201"],"award-info":[{"award-number":["R829388","R833292","RD83543201"]}],"id":[{"id":"10.13039\/100000139","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["P30CA012197"],"award-info":[{"award-number":["P30CA012197"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Rare-disease registries can be useful for studying the associations between environmental exposures and disease severity, but often require the addition of a healthy comparison control group. Defining a surrogate control group, matched and balanced on potentially confounding variables, would allow for the comparison of exposure distributions with cases from a registry. In the present study, we assess whether controls selected externally, using stratification score (SS) matching, can serve as effective proxies for internal controls. In addition, we use methyl paraben (MEPB) to compare the estimated associations between an externally matched sample and case\u2013control frequencies in a cohort with internally matched controls. We started with 225 eligible cases of autism spectrum disorder (ASD) from Childhood Autism Risks from Genetics and the Environment (CHARGE), 241 internal controls from CHARGE, and 265 external controls from the National Health and Nutrition Examination Survey (NHANES) cycles 2005\u20132016. We calculated the SSs using demographic covariates and matched 1:1 using a caliper method without a replacement. The distribution of the covariates and the mean squared error of the paired differences (MSEpaired) in the SSs between the internal and external group were similar (MSEpaired = 0.007 and 0.011, respectively). The association between MEPB and ASD compared to the controls was similar between the externally matched SS pairs and the original frequency matched cohort. Controls selected externally, via SS matching, can provide a comparable bias reduction to that provided by the internal controls, and therefore may be a useful strategy in situations when the internal controls are not available.<\/jats:p>","DOI":"10.3390\/ijerph19052549","type":"journal-article","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T22:34:30Z","timestamp":1645569270000},"page":"2549","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Selecting External Controls for Internal Cases Using Stratification Score Matching Methods"],"prefix":"10.3390","volume":"19","author":[{"given":"Stefanie A.","family":"Busgang","sequence":"first","affiliation":[{"name":"Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lance A.","family":"Waller","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30329, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Colicino","sequence":"additional","affiliation":[{"name":"Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"Jr.","given":"Ralph","family":"D\u2019Agostino","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irva","family":"Hertz-Picciotto","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, University of California, Davis, CA 95616, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6058-5907","authenticated-orcid":false,"given":"Chris","family":"Gennings","sequence":"additional","affiliation":[{"name":"Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"113768","DOI":"10.1016\/j.ijheh.2021.113768","article-title":"Human Health Exposure Analysis Resource (HHEAR): A model for incorporating the exposome into health studies","volume":"235","author":"Viet","year":"2021","journal-title":"Int. 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