Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 85-102 |
| Journal | Journal of the Royal Statistical Society, Series C |
| Volume | 63 |
| DOIs | |
| Publication status | Published - 2014 |
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A factor mixture model for multivariate survival data : An application to the analysis of lifetime mental disorders. / Almansa, J.; Vermunt, J.K.; Forero, C.G.; Alonso, J.
In: Journal of the Royal Statistical Society, Series C, Vol. 63, 2014, p. 85-102.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - A factor mixture model for multivariate survival data
T2 - An application to the analysis of lifetime mental disorders
AU - Almansa, J.
AU - Vermunt, J.K.
AU - Forero, C.G.
AU - Alonso, J.
PY - 2014
Y1 - 2014
N2 - The assessment of the lifetime prevalence of mental disorders under comorbidity conditions is an important area in mental health research. Because information on lifetime disorders is usually gathered retrospectively within cross-sectional studies, the information is necessarily right censored and this should be taken into account when setting up models for the estimation of lifetime prevalences. We propose a factor analytic discrete time survival model combining mixture item response theory and discrete time hazard functions to describe disorder associations while accounting for censoring. This model is used for describing the lifetime prevalence and comorbidity of eight depression and anxiety disorders from the European Study of the Epidemiology of Mental Disorders.
AB - The assessment of the lifetime prevalence of mental disorders under comorbidity conditions is an important area in mental health research. Because information on lifetime disorders is usually gathered retrospectively within cross-sectional studies, the information is necessarily right censored and this should be taken into account when setting up models for the estimation of lifetime prevalences. We propose a factor analytic discrete time survival model combining mixture item response theory and discrete time hazard functions to describe disorder associations while accounting for censoring. This model is used for describing the lifetime prevalence and comorbidity of eight depression and anxiety disorders from the European Study of the Epidemiology of Mental Disorders.
U2 - 10.1111/rssc.12026
DO - 10.1111/rssc.12026
M3 - Article
VL - 63
SP - 85
EP - 102
JO - Journal of the Royal Statistical Society, Series C
JF - Journal of the Royal Statistical Society, Series C
SN - 0035-9246
ER -