Beta-binomial/Poisson regression models for repeated bivariate counts.

Abstract:

:We analyze data obtained from a study designed to evaluate training effects on the performance of certain motor activities of Parkinson's disease patients. Maximum likelihood methods were used to fit beta-binomial/Poisson regression models tailored to evaluate the effects of training on the numbers of attempted and successful specified manual movements in 1 min periods, controlling for disease stage and use of the preferred hand. We extend models previously considered by other authors in univariate settings to account for the repeated measures nature of the data. The results suggest that the expected number of attempts and successes increase with training, except for patients with advanced stages of the disease using the non-preferred hand.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Lora MI,Singer JM

doi

10.1002/sim.3303

subject

Has Abstract

pub_date

2008-07-30 00:00:00

pages

3366-81

issue

17

eissn

0277-6715

issn

1097-0258

journal_volume

27

pub_type

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