Discovering subpopulation structure with latent class mixed models.
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Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the artLatent class models and their application to missing-data patterns in longitudinal studies.Patterns of perceived barriers to medical care in older adults: a latent class analysisComparison of Methods for Identifying Phenotype Subgroups Using Categorical Features Data With Application to Autism Spectrum Disorder.Shared decision-making and health care expenditures among children with special health care needs.Course of depression and mortality among older primary care patients.Shared decision-making in pediatrics: a national perspectiveDeconstructing Psychosis conference February 2006: the validity of schizophrenia and alternative approaches to the classification of psychosisImpact of dementia on payments for long-term and acute care in an elderly cohortJoint modelling of mixed outcome types using latent variables.Predictors of lung function test severity and outcome in systemic sclerosis-associated interstitial lung diseaseA Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.Therapy preferences of patients with lung and colon cancer: a discrete choice experiment.The cox proportional hazards model with a continuous latent variable measured by multiple binary indicators.Modeling healthcare costs in simultaneous presence of asymmetry, heteroscedasticity and correlation
P2860
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P2860
Discovering subpopulation structure with latent class mixed models.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
Discovering subpopulation structure with latent class mixed models.
@en
Discovering subpopulation structure with latent class mixed models.
@nl
type
label
Discovering subpopulation structure with latent class mixed models.
@en
Discovering subpopulation structure with latent class mixed models.
@nl
prefLabel
Discovering subpopulation structure with latent class mixed models.
@en
Discovering subpopulation structure with latent class mixed models.
@nl
P2093
P2860
P356
P1476
Discovering subpopulation structure with latent class mixed models.
@en
P2093
P2860
P304
P356
10.1002/SIM.1027
P407
P577
2002-02-01T00:00:00Z