Abstract:
: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.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Lawson AB,Ellerbe C,Carroll R,Alia K,Coulon S,Wilson DK,VanHorn ML,George SMdoi
10.1177/0962280214529932subject
Has Abstractpub_date
2016-12-01 00:00:00pages
2634-2649issue
6eissn
0962-2802issn
1477-0334pii
0962280214529932journal_volume
25pub_type
杂志文章abstract::Within paediatric populations, there may be distinct age groups characterised by different exposure-response relationships. Several regulatory guidance documents have suggested general age groupings. However, it is not clear whether these categorisations will be suitable for all new medicines and in all disease areas....
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