Zarina Mohd Khalid
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View article: Mitigating upside gains and downside losses through AI investment and greenness of stocks
Mitigating upside gains and downside losses through AI investment and greenness of stocks Open
As investors' awareness to invest in intelligent technologies and sustainable stocks, especially after facing high environmental pressures has increased. It has become imperative to understand the role of AI and green stocks in risk divers…
View article: URDU VERSION OF STROKE IMPACT SCALE (PROXY VERSION), VALIDITY AND RELIABILITY STUDY
URDU VERSION OF STROKE IMPACT SCALE (PROXY VERSION), VALIDITY AND RELIABILITY STUDY Open
Background: Disease-specific outcome measures are increasingly used in clinical and research settings to evaluate health-related quality of life in specific populations. The Stroke Impact Scale (SIS) is a widely recognized tool for assessi…
View article: Trauma outcomes differences in females: a prospective analysis of 76 000 trauma patients in the Asia-Pacific region and the contributing factors
Trauma outcomes differences in females: a prospective analysis of 76 000 trauma patients in the Asia-Pacific region and the contributing factors Open
Background Trauma is a leading cause of mortality, particularly in low and middle-income countries. While extensively studied in North America and Europe, data from the Asia-Pacific are limited. An important area of research is the differe…
View article: Evaluating MCMC Convergence in a Bayesian Model of ST-Elevation Myocardial Infarction Female Patients in Malaysia
Evaluating MCMC Convergence in a Bayesian Model of ST-Elevation Myocardial Infarction Female Patients in Malaysia Open
The majority of research that looked at the Bayesian Markov Chain Monte Carlo (MCMC) approach for prognostic modelling of cardiovascular disease only focused on the use of the Bayesian approach in variable selection, model selection, and p…
View article: Modelling the spread of COVID-19 in Peninsular Malaysia using geographically weighted logistic regression
Modelling the spread of COVID-19 in Peninsular Malaysia using geographically weighted logistic regression Open
The whole world has faced different obstacles facing the coronavirus disease (COVID-19) since the first day of infectious contagion crisis in Wuhan, Hubei, China in late 2019. It has had a huge impact on society and the economy across the …
View article: Analysis of Two Populations Dichotomous Data in Latent Variable Models Using Bayesian Approach
Analysis of Two Populations Dichotomous Data in Latent Variable Models Using Bayesian Approach Open
في هذا البحث, هدفنا الرئيسي هو استخدام نموذج متغير كامن واقتراح نموذج مناسب مع ميزات مثل المتغيرات المشتركة الثابتة غير الخطية والمتغيرات الكامنة بناء على نماذج مختلفة يمكن وصفها بناء على النموذج الرياضي والهيكلي. نحن أيضا استخدمنا المتغير…
View article: Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis
Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis Open
Objectives Despite extensive advances in medical and surgical treatment, cardiovascular disease (CVD) remains the leading cause of mortality worldwide. Identifying the significant predictors will help clinicians with the prognosis of the d…
View article: ANOVA Assisted Variable Selection in High-dimensional Multicategory Response Data
ANOVA Assisted Variable Selection in High-dimensional Multicategory Response Data Open
Multinomial logistic regression is preferred in the classification of multicategory response data for its ease of interpretation and the ability to identify the associated input variables for each category.However, identifying important in…
View article: Bayesian MCMC Approach in Prognostic Modelling of Cardiovascular Disease in Malaysia: A Convergence Diagnostic
Bayesian MCMC Approach in Prognostic Modelling of Cardiovascular Disease in Malaysia: A Convergence Diagnostic Open
Most studies that considered the Bayesian Markov Chain Monte Carlo (MCMC) approach in prognostic modelling of cardiovascular disease were only focused on the application of the Bayesian approach in variable selection, model, and prior dist…
View article: Statistical Analysis on Students’ Evaluation and Students’ Final Exam Marks in Undergraduate Mathematical Courses at Universiti Teknologi Malaysia
Statistical Analysis on Students’ Evaluation and Students’ Final Exam Marks in Undergraduate Mathematical Courses at Universiti Teknologi Malaysia Open
The COVID-19 pandemic has become a global health issue and has had a major impact on education. Distance learning was implemented during COVID-19 pandemic. Concerns towards the negative impact of online learning such as lack of physical in…
View article: Priors comparison in Bayesian Models of risk factor of Malaysian coronary artery disease male patients
Priors comparison in Bayesian Models of risk factor of Malaysian coronary artery disease male patients Open
Coronary artery disease (CAD) continues to be one of the leading causes of morbidity and mortality globally. Of particular relevance for this issue is that major efforts should be focused on understanding the risk factor involved. In this …
View article: Risk Factors of Mortality among Male Patients with Cardiovascular Disease in Malaysia Using Bayesian Analysis
Risk Factors of Mortality among Male Patients with Cardiovascular Disease in Malaysia Using Bayesian Analysis Open
Background: Identifying risk factors associated with mortality is important in providing better prognosis to patients. Consistent with that, Bayesian approach offers a great advantage where it rests on the assumption that all model paramet…
View article: A Comparison Between Bayesian and Frequentist Approach in the Analysis of Risk Factors for Female Cardiovascular Disease Patients in Malaysia
A Comparison Between Bayesian and Frequentist Approach in the Analysis of Risk Factors for Female Cardiovascular Disease Patients in Malaysia Open
Cardiovascular disease (CVD) is the number one killer among women in Malaysia and globally, with over two million deaths each year. In this study, two modelling approaches namely Bayesian approach and frequentist approach were considered t…
View article: On Estimate of Malaysian Mortality Rates Using Interpolation Methods
On Estimate of Malaysian Mortality Rates Using Interpolation Methods Open
Life table is a table that shows mortality experience of a nation. However, in Malaysia, the information in this table is provided in the five-year age groups (abridged) instead of every one-year age. Hence, this study aims to estimate the…
View article: RISK FACTORS OF CARDIOVASCULAR DISEASE AMONG ST-ELEVATION MYOCARDIAL INFARCTION MALE PATIENTS IN MALAYSIA FROM 2006 TO 2013
RISK FACTORS OF CARDIOVASCULAR DISEASE AMONG ST-ELEVATION MYOCARDIAL INFARCTION MALE PATIENTS IN MALAYSIA FROM 2006 TO 2013 Open
Cardiovascular disease is the leading cause of death in Malaysia and globally. This study aimed to identify associated risk factors in cardiovascular disease among ST elevation myocardial infarction (STEMI) male patients and obtain a feasi…
View article: Identifying Risk Factors for Female Cardiovascular Disease Patients in Malaysia: A Bayesian Approach
Identifying Risk Factors for Female Cardiovascular Disease Patients in Malaysia: A Bayesian Approach Open
Cardiovascular disease (CVD) includes coronary heart disease, cerebrovascular disease (stroke), peripheral artery disease, and atherosclerosis of the aorta. All females face the threat of CVD. But becoming aware of symptoms and signs is a …
View article: Gender differences in mortality among ST elevation myocardial infarction patients in Malaysia from 2006 to 2013
Gender differences in mortality among ST elevation myocardial infarction patients in Malaysia from 2006 to 2013 Open
Retrospective registry data with inter-hospital variation.
View article: A comparative analysis on the performance of Lehman type II inverse Gaussian model and standard inverse Gaussian model in terms of flexibility
A comparative analysis on the performance of Lehman type II inverse Gaussian model and standard inverse Gaussian model in terms of flexibility Open
Searching for flexible parametric models is often the concern of statisticians in data analysis. In order to provide significantly skewed, flexible and heavy-tails models, more parameters are introduced into the existing models. In this pa…