Work

Predictive Biostatistical Modeling of Uric Acid Levels Based on High-density Lipoprotein and Alanine Aminotransferase Using R

Year: 2025

Type: article

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.

Source: JP Journal of Biostatistics

DOI: 10.17654/0973514325015

Authors: Wan Muhamad Amir W Ahmad, Mohamad Nasarudin Adnan, Nor Azlida Aleng, Nor Farid Mohd Noor, Ruhaya Hasan, Mohamad Shafiq Mohd Ibrahim, Nurfadhlina Abdul Halim

Language: English

Topic: Gout, Hyperuricemia, Uric Acid

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4409600010

FWCI:

Cites:

Cited by:

Related to: 10