BayTetra: A Bayesian Semiparametric Approach for Testing Trajectory Differences.

ABSTRACT: Testing differences in longitudinal trajectories among distinct groups of population is an important task in many biomedical applications. Motivated by an application in Alzheimer's disease, we develop BayTetra, an innovative Bayesian semiparametric approach for estimating and testing group differences in multivariate longitudinal trajectories. BayTetra jointly models multivariate longitudinal data by directly accounting for correlations among different responses, and uses a semiparametric framework based on B-splines to capture the non-linear trajectories with great flexibility. To avoid overfitting, BayTetra encourages parsimonious trajectory estimation by imposing penalties on the smoothness of the spline functions. The proposed method converts the challenging task of hypothesis testing

SUBMITTER: Jin W 

PROVIDER: S-EPMC12778864 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature