Predictive biostatistical modeling of uric acid levels based on high-density lipoprotein and alanine aminotransferase Using R

W Ahmad, Wan Muhamad Amir and Adnan, Mohamad Nasarudin and Aleng, Nor Azlida and Mohd Noor, Nor Farid and Hasan, Ruhaya and Mohd Ibrahim, Mohamad Shafiq and Abdul Halim, Nurfadhlina (2025) Predictive biostatistical modeling of uric acid levels based on high-density lipoprotein and alanine aminotransferase Using R. JP Journal of Biostatistics, 25 (2). pp. 295-302. E-ISSN 0973-5143

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Abstract

This study uses biostatistics and R syntax to analyze and model High Density Lipoprotein (HDL), Alanine Aminotransferase (ALT), and Uric acid values. The work addresses the intricate relationships between these parameters to improve biological prediction accuracy. After Mardia’s test of multivariate normality, data normalization was done methodically to ensure variable comparability. A multiple linear regression model was used to develop a predictive model that estimated HDL and ALT contributions to Uric acid levels, revealing their relative importance. The regression model’s p-values and contribution percentages showed that ALT affected Uric acid levels more than HDL

Item Type:	Article (Journal)
Uncontrolled Keywords:	HDL, multiple linear regression
Subjects:	R Medicine > RK Dentistry
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Dentistry > Department of Paediatric Dentistry and Dental Public Health
Depositing User:	Dr Mohamad Shafiq Mohd Ibrahim
Date Deposited:	15 May 2025 14:28
Last Modified:	15 May 2025 14:28
URI:	http://irep.iium.edu.my/id/eprint/120977

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