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

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),...

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Main Author: Wan Mansor, Wan Nor Arifin
Format: Thesis
Language:English
Published: 2023
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Online Access:http://eprints.usm.my/60584/1/Pages%20from%20WAN%20NOR%20ARIFIN%20BIN%20WAN%20MANSOR%20-%20TESIS-2.pdf
http://eprints.usm.my/60584/
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spelling my.usm.eprints.60584 http://eprints.usm.my/60584/ Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods Wan Mansor, Wan Nor Arifin QA75.5-76.95 Electronic computers. Computer science 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). 2023-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/60584/1/Pages%20from%20WAN%20NOR%20ARIFIN%20BIN%20WAN%20MANSOR%20-%20TESIS-2.pdf Wan Mansor, Wan Nor Arifin (2023) Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Wan Mansor, Wan Nor Arifin
Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
description 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).
format Thesis
author Wan Mansor, Wan Nor Arifin
author_facet Wan Mansor, Wan Nor Arifin
author_sort Wan Mansor, Wan Nor Arifin
title Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_short Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_full Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_fullStr Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_full_unstemmed Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
title_sort partial verification bias correction in diagnostic accuracy studies using propensity score-based methods
publishDate 2023
url http://eprints.usm.my/60584/1/Pages%20from%20WAN%20NOR%20ARIFIN%20BIN%20WAN%20MANSOR%20-%20TESIS-2.pdf
http://eprints.usm.my/60584/
_version_ 1800086052963090432
score 13.214268