Asymptotic-based bootstrap approach for matched pairs with missingness in a single arm

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dc.contributor.authorAmro, Lubna
dc.contributor.authorPauly, Markus
dc.contributor.authorRamosaj, Burim
dc.date.accessioned2022-03-30T10:54:27Z
dc.date.available2022-03-30T10:54:27Z
dc.date.issued2021-07-08
dc.description.abstractThe issue of missing values is an arising difficulty when dealing with paired data. Several test procedures are developed in the literature to tackle this problem. Some of them are even robust under deviations and control type-I error quite accurately. However, most of these methods are not applicable when missing values are present only in a single arm. For this case, we provide asymptotic correct resampling tests that are robust under heteroskedasticity and skewed distributions. The tests are based on a meaningful restructuring of all observed information in quadratic form–type test statistics. An extensive simulation study is conducted exemplifying the tests for finite sample sizes under different missingness mechanisms. In addition, illustrative data examples based on real life studies are analyzed.en
dc.identifier.urihttp://hdl.handle.net/2003/40837
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22694
dc.language.isoende
dc.relation.ispartofseriesBiometrical journal;63(7)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMatched pairsen
dc.subjectMissing valuesen
dc.subjectParametric bootstrapen
dc.subjectQuadratic formsen
dc.subject.ddc310
dc.titleAsymptotic-based bootstrap approach for matched pairs with missingness in a single armen
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationAmro, L, Pauly, M, Ramosaj, B. Asymptotic-based bootstrap approach for matched pairs with missingness in a single arm. Biometrical Journal. 2021; 63: 1389– 1405. https://doi.org/10.1002/bimj.202000051de
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1002/bimj.202000051de

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