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dc.contributor.authorWood, Mollie E.
dc.contributor.authorLapane, Kate L.
dc.contributor.authorvan Gelder, Marleen M. H. J.
dc.contributor.authorRai, Dheeraj
dc.contributor.authorNordeng, Hedvig M. E.
dc.date2022-08-11T08:08:22.000
dc.date.accessioned2022-08-23T15:52:44Z
dc.date.available2022-08-23T15:52:44Z
dc.date.issued2017-10-17
dc.date.submitted2017-12-13
dc.identifier.citationPharmacoepidemiol Drug Saf. 2017 Oct 17. doi: 10.1002/pds.4336. [Epub ahead of print] <a href="https://doi.org/10.1002/pds.4336">Link to article on publisher's site</a>
dc.identifier.issn1053-8569 (Linking)
dc.identifier.doi10.1002/pds.4336
dc.identifier.pmid29044735
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29207
dc.description.abstractUnderstanding the safety of medication use during pregnancy relies on observational studies: However, confounding in observational studies poses a threat to the validity of estimates obtained from observational data. Newer methods, such as marginal structural models and propensity calibration, have emerged to deal with complex confounding problems, but these methods have seen limited uptake in the pregnancy medication literature. In this article, we provide an overview of newer advanced methods for confounding control and show how these methods are relevant for pregnancy medication safety studies.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=29044735&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1002/pds.4336
dc.subjectMaternal and Child Health
dc.subjectPharmaceutical Preparations
dc.subjectWomen's Health
dc.titleMaking fair comparisons in pregnancy medication safety studies: An overview of advanced methods for confounding control
dc.typeJournal Article
dc.source.journaltitlePharmacoepidemiology and drug safety
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1432
dc.identifier.contextkey11242891
html.description.abstract<p>Understanding the safety of medication use during pregnancy relies on observational studies: However, confounding in observational studies poses a threat to the validity of estimates obtained from observational data. Newer methods, such as marginal structural models and propensity calibration, have emerged to deal with complex confounding problems, but these methods have seen limited uptake in the pregnancy medication literature. In this article, we provide an overview of newer advanced methods for confounding control and show how these methods are relevant for pregnancy medication safety studies.</p>
dc.identifier.submissionpathfaculty_pubs/1432
dc.contributor.departmentDepartment of Quantitative Health Sciences


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