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Identifying outlier subjects in bioavailability trials using generalized studentized residuals

This paper discusses several outlier detection methods for bioavailability trials, particularly based on residuals. By considering a simplified model of standard crossover model, which is commonly used in bioavailability trials, we propose an outlier detection procedure based on the generalized stud...

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Main Authors: Lim, F.P., Wong, L.l., Yap, H.K., Yow, K.S.
Format: Article
Published: Penerbit Universiti Kebangsaan Malaysia (UKM Press) 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108256/
https://www.ukm.my/jsm/english_journals/vol52num5_2023/contentsVol52num5_2023.html
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spelling my.upm.eprints.1082562024-09-11T03:30:26Z http://psasir.upm.edu.my/id/eprint/108256/ Identifying outlier subjects in bioavailability trials using generalized studentized residuals Lim, F.P. Wong, L.l. Yap, H.K. Yow, K.S. This paper discusses several outlier detection methods for bioavailability trials, particularly based on residuals. By considering a simplified model of standard crossover model, which is commonly used in bioavailability trials, we propose an outlier detection procedure based on the generalized studentized residuals (SR3) and compare its ability of detecting the possible outlying subjects with two existing procedures, which are carried out based on the classical studentized residual (SR1) and studentized residual using median absolute deviation (SR2). The performances of these procedures in detecting outlying subject are presented via an extensive simulation study. The results show that the proposed procedure SR3 performs more powerful than that using SR1, and as well as the procedure using SR2 for outlier detection. As an illustration, these procedures are implemented on a real dataset from bioavailability study, namely, the area under the curve (AUC) dataset for two erythromycin formulations. Penerbit Universiti Kebangsaan Malaysia (UKM Press) 2023 Article PeerReviewed Lim, F.P. and Wong, L.l. and Yap, H.K. and Yow, K.S. (2023) Identifying outlier subjects in bioavailability trials using generalized studentized residuals. Sains Malaysiana, 52 (5). 1581- 1593. ISSN 0126-6039; ESSN: 2735-0118 https://www.ukm.my/jsm/english_journals/vol52num5_2023/contentsVol52num5_2023.html 10.17576/jsm-2023-5205-19
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This paper discusses several outlier detection methods for bioavailability trials, particularly based on residuals. By considering a simplified model of standard crossover model, which is commonly used in bioavailability trials, we propose an outlier detection procedure based on the generalized studentized residuals (SR3) and compare its ability of detecting the possible outlying subjects with two existing procedures, which are carried out based on the classical studentized residual (SR1) and studentized residual using median absolute deviation (SR2). The performances of these procedures in detecting outlying subject are presented via an extensive simulation study. The results show that the proposed procedure SR3 performs more powerful than that using SR1, and as well as the procedure using SR2 for outlier detection. As an illustration, these procedures are implemented on a real dataset from bioavailability study, namely, the area under the curve (AUC) dataset for two erythromycin formulations.
format Article
author Lim, F.P.
Wong, L.l.
Yap, H.K.
Yow, K.S.
spellingShingle Lim, F.P.
Wong, L.l.
Yap, H.K.
Yow, K.S.
Identifying outlier subjects in bioavailability trials using generalized studentized residuals
author_facet Lim, F.P.
Wong, L.l.
Yap, H.K.
Yow, K.S.
author_sort Lim, F.P.
title Identifying outlier subjects in bioavailability trials using generalized studentized residuals
title_short Identifying outlier subjects in bioavailability trials using generalized studentized residuals
title_full Identifying outlier subjects in bioavailability trials using generalized studentized residuals
title_fullStr Identifying outlier subjects in bioavailability trials using generalized studentized residuals
title_full_unstemmed Identifying outlier subjects in bioavailability trials using generalized studentized residuals
title_sort identifying outlier subjects in bioavailability trials using generalized studentized residuals
publisher Penerbit Universiti Kebangsaan Malaysia (UKM Press)
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108256/
https://www.ukm.my/jsm/english_journals/vol52num5_2023/contentsVol52num5_2023.html
_version_ 1811686013974609920
score 13.211869

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