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dc.contributor.authorArnes, Jo Inge
dc.contributor.authorHapfelmeier, Alexander
dc.contributor.authorHorsch, Alexander
dc.date.accessioned2023-10-03T07:50:38Z
dc.date.available2023-10-03T07:50:38Z
dc.date.issued2022-08-22
dc.description.abstractWe commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed subjects. CEM’s standard approach to stratifying variables is histogram binning. However, histogram binning creates strata of uniformwidths and does not distinguish between exposed and nonexposed. We present Autostrata, a novel algorithmic approach to stratification producing improved results in CEM and providing more control to the researcher.en_US
dc.identifier.citationArnes JI, Hapfelmeier A, Horsch A: Autostrata: Improved Automatic Stratification for Coarsened Exact Matching. In: Henriksen A, Gabarron E, Vimarlund V. Proceedings of the 18th Scandinavian Conference on Health Informatics, 2022. Linköping Electronic Conference Proceedings p. 179-186en_US
dc.identifier.cristinIDFRIDAID 2046094
dc.identifier.doihttps://doi.org/10.3384/ecp187030
dc.identifier.isbn978-91-7929-344-4
dc.identifier.issn1650-3686
dc.identifier.issn1650-3740
dc.identifier.urihttps://hdl.handle.net/10037/31386
dc.language.isoengen_US
dc.publisherLinköping University Electronic Press, Swedenen_US
dc.relation.ispartofArnes, J.I. (2024). Toward a Collaborative Platform for Hybrid Designs Sharing a Common Cohort. (Doctoral thesis). <a href=https://hdl.handle.net/10037/32243>https://hdl.handle.net/10037/32243</a>.
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleAutostrata: Improved Automatic Stratification for Coarsened Exact Matchingen_US
dc.type.versionpublishedVersionen_US
dc.typeChapteren_US
dc.typeBokkapittelen_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)