Comparative Analysis of Some Structural Equation Model Estimation Methods with Application to Coronary Heart Disease Risk
المؤلفون المشاركون
Adedia, David
Adebanji, Atinuke O.
Appiah, Simon Kojo
المصدر
Journal of Probability and Statistics
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-22
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
This study compared a ridge maximum likelihood estimator to Yuan and Chan (2008) ridge maximum likelihood, maximum likelihood, unweighted least squares, generalized least squares, and asymptotic distribution-free estimators in fitting six models that show relationships in some noncommunicable diseases.
Uncontrolled hypertension has been shown to be a leading cause of coronary heart disease, kidney dysfunction, and other negative health outcomes.
It poses equal danger when asymptomatic and undetected.
Research has also shown that it tends to coexist with diabetes mellitus (DM), with the presence of DM doubling the risk of hypertension.
The study assessed the effect of obesity, type II diabetes, and hypertension on coronary risk and also the existence of converse relationship with structural equation modelling (SEM).
The results showed that the two ridge estimators did better than other estimators.
Nonconvergence occurred for most of the models for asymptotic distribution-free estimator and unweighted least squares estimator whilst generalized least squares estimator had one nonconvergence of results.
Other estimators provided competing outputs, but unweighted least squares estimator reported unreliable parameter estimates such as large chi-square test statistic and root mean square error of approximation for Model 3.
The maximum likelihood family of estimators did better than others like asymptotic distribution-free estimator in terms of overall model fit and parameter estimation.
Also, the study found that increase in obesity could result in a significant increase in both hypertension and coronary risk.
Diastolic blood pressure and diabetes have significant converse effects on each other.
This implies those who are hypertensive can develop diabetes and vice versa.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Adedia, David& Adebanji, Atinuke O.& Appiah, Simon Kojo. 2020. Comparative Analysis of Some Structural Equation Model Estimation Methods with Application to Coronary Heart Disease Risk. Journal of Probability and Statistics،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1190171
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Adedia, David…[et al.]. Comparative Analysis of Some Structural Equation Model Estimation Methods with Application to Coronary Heart Disease Risk. Journal of Probability and Statistics No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1190171
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Adedia, David& Adebanji, Atinuke O.& Appiah, Simon Kojo. Comparative Analysis of Some Structural Equation Model Estimation Methods with Application to Coronary Heart Disease Risk. Journal of Probability and Statistics. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1190171
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1190171
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر