Structural equation modelling has been used extensively in the behavioural and social sciences for studying interrelationships among manifest and latent variables. Recently, its uses have been well recognized in medical research. This paper introduces a Bayesian approach to analysing general structural equation models with dichotomous variables. In the posterior analysis, the observed dichotomous data are augmented with the hypothetical missing values, which involve the latent variables in the model and the unobserved continuous measurements underlying the dichotomous data. An algorithm based on the Gibbs sampler is developed for drawing the parameters values and the hypothetical missing values from the joint posterior distributions. Useful statistics, such as the Bayesian estimates and their standard error estimates, and the highest posterior density intervals, can be obtained from the simulated observations. A posterior predictive p-value is used to test the goodness-of-fit of the posited model. The methodology is applied to a study of hypertensive patient non-adherence to medication.
The metabolic syndrome in Hong Kong Chinese. The interrelationships among its components analyzed by structural equation modeling
The analysis of complex patterns of longitudinal binary response: an example of transient dysphagia following radiotherapy
Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations
Religious beliefs or physicians' behavior: what makes a patient more prone to accept a physician to address his/her spiritual issues?
Disparities in drinking patterns and risks among ethnic majority and minority groups in China: The roles of acculturation, religion, family and friends
Bayesian analysis of structural equation models with multinomial variables and an application to type 2 diabetic nephropathy
Are gestational age, birth weight, and birth length indicators of favorable fetal growth conditions? A structural equation analysis of Filipino infants
The Fear of Tinnitus Questionnaire: Toward a Reliable and Valid Means of Assessing Fear in Adults with Tinnitus
Association Analysis of NLRP3 Inflammation-Related Gene Promotor Methylation as Well as Mediating Effects on T2DM and Vascular Complications in a Southern Han Chinese Population
Size and Shape of Associations of OGTT as Well as Mediating Effects on Adverse Pregnancy Outcomes Among Women With Gestational Diabetes Mellitus: Population-Based Study From Southern Han Chinese.
Medication Adherence in HIV-Positive African Americans: The Roles of Age, Health Beliefs, and Sensation Seeking
Camel Genetic Resources Conservation through Tourism: A Key Sociocultural Approach of Camelback Leisure Riding
Antihypertensive Agents: Mechanisms of Action
Antihypertensive drugs are used to treat hypertension (high blood pressure) which aims to prevent the complications of high blood pressure, such as stroke and myocardial infarction. Discover the latest research on antihypertensive drugs and their mechanism of action here.