Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population

Analysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using...

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Autores principales:	Sawsan Babiker, Yousif Eltayeb, Neveen Sayed-Ahmed, Sitalnesa Abdelhafeez, El Shazly Abdul Khalik, M.Saif AlDien, Omaima Nasir
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Logit model Logistic regression model Modified maximum likelihood method CHD Risk factors Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/23d3272c4f59441a9dd008169cd35e46
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spelling	oai:doaj.org-article:23d3272c4f59441a9dd008169cd35e462021-11-20T04:56:42ZLogit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population1319-562X10.1016/j.sjbs.2021.07.089https://doaj.org/article/23d3272c4f59441a9dd008169cd35e462021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1319562X21006720https://doaj.org/toc/1319-562XAnalysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using a logit model. Attempts made to reduce risk factors, increase public or professional awareness. Logit model used to evaluate the probability of a person develop CHD, considering any factors such as age, gender, high low-density lipoprotein (LDL) cholesterol, low high-density lipoprotein (HDL) cholesterol, high blood pressure, family history of CHD younger than 45, diabetes, smoking, being post-menopausal for women and being older than 45 for men. Logit concept of brief statistics described with slight modification to estimate the parameters testing for the significance of the coefficients, confidence interval fits the simple, multiple logit models. Besides, interpretation of the fitted logit regression model introduced. Variables showing best results within the scientific context, good explanation data assessed to fit an estimated logit model containing chosen variables, this present experiment used the statistical inference procedure; chi-square distribution, likelihood ratio, Score, or Wald test and goodness-of-fit. Health promotion started with increased public or professional awareness improved for early detection of CHD, to reduce the risk of mortality, aimed to be Saudi vision by 2030.Sawsan BabikerYousif EltayebNeveen Sayed-AhmedSitalnesa AbdelhafeezEl Shazly Abdul KhalikM.Saif AlDienOmaima NasirElsevierarticleLogit modelLogistic regression modelModified maximum likelihood methodCHDRisk factorsBiology (General)QH301-705.5ENSaudi Journal of Biological Sciences, Vol 28, Iss 12, Pp 7027-7036 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Logit model Logistic regression model Modified maximum likelihood method CHD Risk factors Biology (General) QH301-705.5
spellingShingle	Logit model Logistic regression model Modified maximum likelihood method CHD Risk factors Biology (General) QH301-705.5 Sawsan Babiker Yousif Eltayeb Neveen Sayed-Ahmed Sitalnesa Abdelhafeez El Shazly Abdul Khalik M.Saif AlDien Omaima Nasir Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
description	Analysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using a logit model. Attempts made to reduce risk factors, increase public or professional awareness. Logit model used to evaluate the probability of a person develop CHD, considering any factors such as age, gender, high low-density lipoprotein (LDL) cholesterol, low high-density lipoprotein (HDL) cholesterol, high blood pressure, family history of CHD younger than 45, diabetes, smoking, being post-menopausal for women and being older than 45 for men. Logit concept of brief statistics described with slight modification to estimate the parameters testing for the significance of the coefficients, confidence interval fits the simple, multiple logit models. Besides, interpretation of the fitted logit regression model introduced. Variables showing best results within the scientific context, good explanation data assessed to fit an estimated logit model containing chosen variables, this present experiment used the statistical inference procedure; chi-square distribution, likelihood ratio, Score, or Wald test and goodness-of-fit. Health promotion started with increased public or professional awareness improved for early detection of CHD, to reduce the risk of mortality, aimed to be Saudi vision by 2030.
format	article
author	Sawsan Babiker Yousif Eltayeb Neveen Sayed-Ahmed Sitalnesa Abdelhafeez El Shazly Abdul Khalik M.Saif AlDien Omaima Nasir
author_facet	Sawsan Babiker Yousif Eltayeb Neveen Sayed-Ahmed Sitalnesa Abdelhafeez El Shazly Abdul Khalik M.Saif AlDien Omaima Nasir
author_sort	Sawsan Babiker
title	Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
title_short	Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
title_full	Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
title_fullStr	Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
title_full_unstemmed	Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
title_sort	logit model in prospective coronary heart disease (chd) risk factors prediction in saudi population
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/23d3272c4f59441a9dd008169cd35e46
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Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population

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