Application 2: Distribution of posterior modes of the patient-level coefficients. Each boxplot displays the patient-level coefficients of the lag-1 associations between the FSS’s and psychological discomforts. The left and right columns represent the young group (less than or equal to 44 years old) and the old group (greater than 44 years old). The ticks on the top line in each panel mark the lag-1 autocorrelations of the FSS and the psychological discomforts. The blue ticks on the bottom line mark the effect of the FSS in the previous day on psychological discomforts in the current day, and the purple ticks mark the reverse effect of psychological discomforts on FSS. H = headache, J = joint pain, B = bowel symptoms, M = muscle pain, F = fa...
Abstract Background Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease, is a ra...
<p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset<...
Hierarchical regression analyses for variables predicting health-related quality of life, psychologi...
Application 2: Posterior modes of the population-level coefficients for the 4 FSS’s. Panel (a)-(d) d...
Application 2: Posterior modes of the standard deviations of the patient-level deviations. Posterior...
Application 2: Posterior means and 95% intervals for predicting headache. Posterior means and 95% in...
Predicting health outcomes from longitudinal health histories is of central importance to healthcare...
Predicting health outcomes from longitudinal health histories is of central importance to healthcare...
Application 2: Prediction accuracy of the Bayesian model, the patient-specific VAR model and the reg...
Application 1: MSE of the Bayesian hierarchical VAR model, the patient-specific VAR model and the re...
T = tobacco use, N = negative affect, C = craving. Each panel represents one group. Each boxplot sho...
Linear dynamical system State space modeling are especially of interest in the study of emotion dyna...
Vector auto-regressive (VAR) models typically form the basis for constructing directed graphical mod...
Pain is the most ubiquitous and economically burdensome condition in the world. For this reason, pai...
We propose a statistical modeling technique, called the Hierarchical Association Rule Model (HARM), ...
Abstract Background Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease, is a ra...
<p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset<...
Hierarchical regression analyses for variables predicting health-related quality of life, psychologi...
Application 2: Posterior modes of the population-level coefficients for the 4 FSS’s. Panel (a)-(d) d...
Application 2: Posterior modes of the standard deviations of the patient-level deviations. Posterior...
Application 2: Posterior means and 95% intervals for predicting headache. Posterior means and 95% in...
Predicting health outcomes from longitudinal health histories is of central importance to healthcare...
Predicting health outcomes from longitudinal health histories is of central importance to healthcare...
Application 2: Prediction accuracy of the Bayesian model, the patient-specific VAR model and the reg...
Application 1: MSE of the Bayesian hierarchical VAR model, the patient-specific VAR model and the re...
T = tobacco use, N = negative affect, C = craving. Each panel represents one group. Each boxplot sho...
Linear dynamical system State space modeling are especially of interest in the study of emotion dyna...
Vector auto-regressive (VAR) models typically form the basis for constructing directed graphical mod...
Pain is the most ubiquitous and economically burdensome condition in the world. For this reason, pai...
We propose a statistical modeling technique, called the Hierarchical Association Rule Model (HARM), ...
Abstract Background Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease, is a ra...
<p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset<...
Hierarchical regression analyses for variables predicting health-related quality of life, psychologi...