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Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer‐based epidemiologic cohorts
dc.contributor.authorWang, Lingxiao
dc.contributor.authorValliant, Richard
dc.contributor.authorLi, Yan
dc.date.accessioned2021-11-02T00:46:57Z
dc.date.available2022-11-01 20:46:56en
dc.date.available2021-11-02T00:46:57Z
dc.date.issued2021-10-30
dc.identifier.citationWang, Lingxiao; Valliant, Richard; Li, Yan (2021). "Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer‐based epidemiologic cohorts." Statistics in Medicine 40(24): 5237-5250.
dc.identifier.issn0277-6715
dc.identifier.issn1097-0258
dc.identifier.urihttps://hdl.handle.net/2027.42/170864
dc.publisherJohn Wiley & Sons, Inc.
dc.subject.othervariance estimation
dc.subject.otherfinite population inference
dc.subject.othernonprobability sample
dc.subject.otherpropensity score weighting
dc.subject.othersurvey sampling
dc.titleAdjusted logistic propensity weighting methods for population inference using nonprobability volunteer‐based epidemiologic cohorts
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/170864/1/sim9122_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/170864/2/sim9122-sup-0001-supinfo.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/170864/3/sim9122.pdf
dc.identifier.doi10.1002/sim.9122
dc.identifier.sourceStatistics in Medicine
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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