10 research outputs found

    Latent Trait Pattern-Mixture Mixed-Models for Ecological Momentary Assessment Data

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    Latent trait pattern-mixture mixed-models (LTPMMM) for Ecological Momentary Assessment (EMA) data are developed in which data are collected in a intermittent fashion. Initial work with intermittent data has used latent class pattern-mixture models. Using Item Response Theory (IRT) models, a latent trait is used to model the missingness mechanism and modeled jointly with a mixed-model for longitudinal outcomes. Both one- and two-parameter LTPMMMs are presented. These new pattern-mixture models offer a unique way to analyze EMA data with many unique response patterns that cannot easily formed into latent classes. Data from an EMA study involving high-school students' positive and negative affect are presented. The proposed models will estimate a latent trait that corresponds to the students' “ability" to respond to the prompting device. One-thousand simulations are performed to test the proposed models across different simulation scenarios. The models are compared to a Missing at Random (MAR) mixed-model and a latent class pattern-mixture model. The proposed models have lower bias and increased efficiency compared to standard approaches. The new models offer a viable alternative to latent class pattern-mixture models previously used with intermittent missing data

    Effect of sex on outcome after recurrent stroke in African Americans: results from the African American Antiplatelet Stroke Prevention Study

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    Background: Sex-related disparities in stroke have been previously reported. However, the influence of sex on the outcome of recurrent stroke in blacks is less clear. Our objective is to investigate the effect of sex on the outcome of recurrent non-fatal stroke in the African American Antiplatelet Stroke Prevention Study (AAASPS) Methods: The AAASPS is a double-blind, randomized, controlled trial of recurrent stroke. Participants -967 black women and 842 black men- with non-cardioembolic ischemic stroke were assigned to receive ticlopidine or aspirin and followed for up to two years. The NIH Stroke Scale (NIHSS), modified Barthel score (mBS), and the Glasgow Outcome Scale (GOS) were determined at enrollment, at pre-specified times thereafter and at the time of recurrent stroke. Survival analysis was used to test for a significant difference in the time to recurrent stroke between women and men. Results: Of the total 1,809 subjects enrolled in AAASPS, 186 subjects (89 women and 97 men) suffered recurrent non-fatal stroke. At enrollment, the NIHSS (2.87 for women and 3.00 for men; p=0.73), the mBS (18.26 for women and 18.52 for men; p=0.47) and the GOS (1.49 for women and 1.51 for men; p=0.86) were not significantly different. In follow-up and at the time of stroke recurrence, the NIHSS, mBS, and GOS were similar for both groups, except for the mBS at the 6-month visit, which was lower in women (18.49) than in men (19.37) (p=0.02). In the survival analysis, no significant difference in the time to recurrent stroke was found between women and men (p=0.69). Conclusions: Although sex-related stroke disparities have been reported, in the AAASPS cohort outcomes for recurrent non-fatal non-cardioembolic ischemic stroke for women were not significantly different than for men. Differences in study populations and methodologies may explain discrepancies in results from the various studies
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