Latent class models and their application to missing-data patterns in longitudinal studies.
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Modeling Change in the Presence of Non-Randomly Missing Data: Evaluating A Shared Parameter Mixture Model.A review of multivariate longitudinal data analysis.Using a shared parameter mixture model to estimate change during treatment when termination is related to recovery speed.A web-based intervention for abused women: the New Zealand isafe randomised controlled trial protocol.Latent mixture models for multivariate and longitudinal outcomes.
P2860
Latent class models and their application to missing-data patterns in longitudinal studies.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Latent class models and their ...... terns in longitudinal studies.
@ast
Latent class models and their ...... terns in longitudinal studies.
@en
type
label
Latent class models and their ...... terns in longitudinal studies.
@ast
Latent class models and their ...... terns in longitudinal studies.
@en
prefLabel
Latent class models and their ...... terns in longitudinal studies.
@ast
Latent class models and their ...... terns in longitudinal studies.
@en
P2860
P356
P1476
Latent class models and their ...... terns in longitudinal studies.
@en
P2093
P2860
P304
P356
10.1177/0962280206075311
P577
2007-07-26T00:00:00Z