A descriptive risk model for risk factors of stroke using least absolute shrinkage and selection operator

Adusei, Bofa

A descriptive risk model for risk factors of stroke using least absolute shrinkage and selection operator

dc.contributor.author	Adusei, Bofa
dc.date.accessioned	2017-01-18T10:17:00Z
dc.date.accessioned	2023-04-19T12:26:21Z
dc.date.available	2017-01-18T10:17:00Z
dc.date.available	2023-04-19T12:26:21Z
dc.date.issued	October 9, 2016
dc.description	A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology In partial fulfillment of the requirement for the Degree of M.Phil in Mathematical Statistics,	en_US
dc.description.abstract	We selected most informative risk factors of stroke as well as established the association with stroke and derived a risk score of stroke using statistically acceptable modi cations. Secondary data on the aging population of Ghana was used with a sample size of 5119. The LASSO Logistic Regression was implemented through \R"statistical software for windows version.3.1.1 using the penalised package. A key risk factor identi ed was hypertension. A person who exercises regularly had a low risk of developing stroke as compared to one who did not exercise. Data about stroke discovered angina and arthritis as emerging risk factors of stroke in addition to hypertension, physical activities, age and diabetes. We hypothesise that hypertension, diabetes and lack of physical activities re ect the trend of stroke cases in Ghana. There must be public consciousness about the signi cance of managing hypertension in Ghana.	en_US
dc.description.sponsorship	KNUST	en_US
dc.identifier.uri	https://ir.knust.edu.gh/handle/123456789/9930
dc.language.iso	en	en_US
dc.title	A descriptive risk model for risk factors of stroke using least absolute shrinkage and selection operator	en_US
dc.type	Thesis	en_US