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

Wan Mansor, Wan Nor Arifin (2023) Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods. PhD thesis, Universiti Sains Malaysia.

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Abstract

This 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).

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User: Mr Aizat Asmawi Abdul Rahim
Date Deposited: 08 May 2024 03:34
Last Modified: 08 May 2024 03:34
URI: http://eprints.usm.my/id/eprint/60584

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