Bayesian latent structure modeling of walking behavior in a physical activity intervention
The analysis of walking behavior in a physical activity intervention is considered. A Bayesian latent structure modeling approach is proposed whereby the ability and willingness of participants is modeled via latent effects. The dropout process is jointly modeled via a linked survival model. Computational issues are addressed via posterior sampling and a simulated evaluation of the longitudinal model’s ability to recover latent structure and predictor effects is considered. We evaluate the effect of a variety of socio-psychological and spatial neighborhood predictors on the propensity to walk and the estimation of latent ability and willingness in the full study.
Source: Statistical Methods in Medical Research - Category: Statistics Authors: Lawson, A. B., Ellerbe, C., Carroll, R., Alia, K., Coulon, S., Wilson, D. K., VanHorn, M. L., George, S. M. S. Tags: Articles Source Type: research