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Penggunaan Regresi Kuantil Multivariat pada Perubahan Trombosit Pasien Demam Berdarah Dengue: The Use of Multivariate Quantile Regression on Platelet Changes in Dengue Hemorrhagic Fever Patients

ESTIMASI: Journal of Statistics and Its Application · Vol. 1 No. 1 (2022) · pp. 1–9

DOI
10.20956/ejsa.v1i1.9224
ISSN
2721-379X, 2721-3803
Published
2022-02-02
Publisher
Hasanuddin University
Language
en

Abstract

Quantile regression is an extension of the regression model of conditional quantile where the distribution is derived from the response variable expressed as a co-variate function. Quantile regression can model data that contain outliers. Patterns of platelet change in DHF patients based on body temperature and white blood cells were analyzed by quantile regression using θ = 0,25; 0,50, and 0,75. Based on the parameter estimation results, the quantile θ = 0,25 and 0,75 obtained variables that affect the platelets of DHF patients are white blood cells. Significant differences from the variables in each quantile occur because of the possibility of other factors that influence the platelets of DHF patients that are not contained in the model. The difference in the influence of factors on each quantile requires an appropriate adjustment of medical measures so that efficiency can be obtained in handling DHF patients.

Keywords

Collaboration network of the authors

40 authors · 125 co-authorship links · 4 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • IPB University
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Raupong RaupongHasanuddin University10
Andi Kresna JayaHasanuddin University4
Sri Astuti ThamrinHasanuddin University3
Muhammad Jayzul UsrahHasanuddin University3
Nasrah SirajangHasanuddin University3
Anisa KalondengHasanuddin University2
Saleh AfAffiliation unknown2
Nirwan IlyasAffiliation unknown2
Bunga ApriliaHasanuddin University2
Muhammad ZakirHasanuddin University2
Ummi SariHasanuddin University2
Fajar AffanHasanuddin University2
Zhazha Alifkhamulki RamdhaniHasanuddin University1
Samsul ArifinHasanuddin University1
Dewi Rahma EnteHasanuddin University1
Azman AzmanHasanuddin University1
AnisaAffiliation unknown1
Nurtiti SunusiHasanuddin University1
Novilia JaoAffiliation unknown1
Ainun Utari BudistiharahAffiliation unknown1
Mamik UtamiHasanuddin University1
Fitri FitriAffiliation unknown1
Siswanto SiswantoHasanuddin University1
Hajratul Ashwad KAffiliation unknown1
Andi Ummi Melin AichaAffiliation unknown1
Muhammad FadilAffiliation unknown1
Andi M. Alfin BasoHasanuddin University1
A. Elisha WulandariAffiliation unknown1
Belia Nurul FajriAffiliation unknown1
Abdullah PannuIPB University1
Alfian Akbar VallarinoAffiliation unknown1
Anugrah Nur Isnaeni RahmanAffiliation unknown1
Himawan HimawanAffiliation unknown1
Nirwan IlyasHasanuddin University1
Safaruddin SafaruddinUniversitas Halu Oleo1
Nurmiati Nurmiati NurdinAffiliation unknown1
Niki AriskiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Penggunaan Regresi Kuantil Multivariat pada Perubahan Trombosit Pasien Demam Berdarah Dengue: The Use of Multivariate Quantile Regression on Platelet Changes in Dengue Hemorrhagic Fever Patients</dc:title>
	<dc:creator xml:lang="en">Puteri, Widya Nauli Amalia</dc:creator>
	<dc:creator xml:lang="en">Islamiyati, Anna</dc:creator>
	<dc:creator xml:lang="en">Anisa, Anisa</dc:creator>
	<dc:subject xml:lang="en">DHF</dc:subject>
	<dc:subject xml:lang="en">Quantile</dc:subject>
	<dc:subject xml:lang="en">Multivariate</dc:subject>
	<dc:subject xml:lang="en">Regression</dc:subject>
	<dc:subject xml:lang="en">Platelet.</dc:subject>
	<dc:description xml:lang="en">Quantile regression is an extension of the regression model of conditional quantile where the distribution is derived from the response variable expressed as a co-variate function. Quantile regression can model data that contain outliers. Patterns of platelet change in DHF patients based on body temperature and white blood cells were analyzed by quantile regression using θ = 0,25; 0,50, and 0,75. Based on the parameter estimation results, the quantile θ = 0,25 and 0,75 obtained variables that affect the platelets of DHF patients are white blood cells. Significant differences from the variables in each quantile occur because of the possibility of other factors that influence the platelets of DHF patients that are not contained in the model. The difference in the influence of factors on each quantile requires an appropriate adjustment of medical measures so that efficiency can be obtained in handling DHF patients.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-02-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/9224</dc:identifier>
	<dc:identifier>10.20956/ejsa.v1i1.9224</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 1, No. 1, Januari, 2020 : Estimasi; 1-9</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/9224/6357</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 ESTIMASI: Journal of Statistics and Its Application</dc:rights>
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