Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo

Body mass index is a measure of nutritional status of an individual. Malnutrition is a leading public health problem in developing countries like Nigeria, it is also a major cause of morbidity and mortality.

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Publication Details

Journal
Journal of Health Statistics Reports
Published
2025-06-30
DOI
https://doi.org/10.47363/jhsr/2025(4)131
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo

Adeniyi Oyewole Ogunmola
Journal of Health Statistics Reports
Artificial Intelligence in Healthcare
article

Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo

Adeniyi Oyewole Ogunmola
article en

Abstract

Body mass index is a measure of nutritional status of an individual. Malnutrition is a leading public health problem in developing countries like Nigeria, it is also a major cause of morbidity and mortality.

Journal of Health Statistics ReportsVol. 4(2)
Openalex Percentile: Top 73%
Artificial Intelligence in Healthcare
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Application of Quantile Regression and Ordinary Least Squares Regression in Modeling Body Mass Index in Federal Medical Centre Jalingo — Adeniyi Oyewole Ogunmola · Journal of Health Statistics Reports (2025) | TGRS Research Map | TGRS