Joint models for mixed categorical outcomes: a study of HIV risk perception and disease status in Mozambique
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DOI: 10.1080/02664763.2017.1391184
Abstract: ABSTRACT Two types of bivariate models for categorical response variables are introduced to deal with special categories such as ‘unsure’ or ‘unknown’ in combination with other ordinal categories, while taking additional hierarchical data structures into… read more here.
Keywords: status; risk; hiv risk; risk perception ... See more keywords
Bayesian design of clinical trials using joint models for recurrent and terminating events.
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DOI: 10.1093/biostatistics/kxac025
Abstract: Joint models for recurrent event and terminating event data are increasingly used for the analysis of clinical trials. However, few methods have been proposed for designing clinical trials using these models. In this article, we… read more here.
Keywords: joint models; clinical trials; methodology; event ... See more keywords
Joint Models for Estimating Determinants of Cognitive Decline in the Presence of Survival Bias
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DOI: 10.1097/ede.0000000000001472
Abstract: Background: Identifying determinants of cognitive decline is crucial for developing strategies to prevent Alzheimer’s disease and related dementias. However, determinants of cognitive decline remain elusive, with inconsistent results across studies. One reason could be differential… read more here.
Keywords: decline; joint models; determinants cognitive; survival bias ... See more keywords