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Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods

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dc.contributor.authorWan Nor Arifin Bin Wan Mansor
dc.date.accessioned2024-05-08T03:29:30Z
dc.date.available2024-05-08T03:29:30Z
dc.date.issued2023-06
dc.description.abstractThis research objective was to design PS-based methods with weighted regression and resampling approaches to improve and extend PVB correction under MAR and MNAR assumptions. Three MAR PS-based methods of PVB correction were proposed: 1) Inverse probability weighted logistic regression (IPWLogReg), 2) Scaled inverse probability weighted resampling (SIPW-Resamp) and 3) Scaled inverse probability weighted balanced resampling (SIPW-BalResamp).
dc.identifier.urihttps://erepo.usm.my/handle/123456789/19184
dc.subjectPartial Verification Bias Correction
dc.subjectDiagnostic Accuracy Studies
dc.subjectPropensity Score-Based Methods
dc.titlePartial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
dc.typeResource Types::text::thesis::doctoral thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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