Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data.
about
Performance of joint modelling of time-to-event data with time-dependent predictors: an assessment based on transition to psychosis data.Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues.Flexible Bayesian additive joint models with an application to type 1 diabetes research.Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data.A new method for analysing transition to psychosis: Joint modelling of time-to-event outcome with time-dependent predictors.
P2860
Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@ast
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@en
type
label
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@ast
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@en
prefLabel
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@ast
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@en
P2860
P356
P1476
Semiparametric Bayesian infere ...... ongitudinal and survival data.
@en
P2093
An-Min Tang
Nian-Sheng Tang
P2860
P304
P356
10.1002/SIM.6373
P407
P577
2014-02-01T00:00:00Z