Regression modeling of longitudinal data with outcome-dependent observation times: extensions and comparative evaluation

Statistics in Medicine ◽

10.1002/sim.6262 ◽

2014 ◽

Vol 33 (27) ◽

pp. 4770-4789 ◽

Author(s):

Kay See Tan ◽

Benjamin French ◽

Andrea B. Troxel

Keyword(s):

Longitudinal Data ◽

Comparative Evaluation ◽

Regression Modeling ◽

Observation Times ◽

Dependent Observation

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Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease

Journal of Applied Statistics ◽

10.1080/02664763.2016.1155202 ◽

2016 ◽

Vol 43 (16) ◽

pp. 2922-2940

Author(s):

T.-F.C. Lu ◽

C.-M. Hsu ◽

K.-H. Shu ◽

S.-C. Weng ◽

C.-M. Chen

Keyword(s):

Chronic Kidney Disease ◽

Kidney Disease ◽

Longitudinal Data ◽

Joint Analysis ◽

Terminal Events ◽

Observation Times ◽

Dependent Observation

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Joint analysis of longitudinal data with dependent observation times

Statistica Sinica ◽

10.5705/ss.2009.261 ◽

2012 ◽

Vol 22 (1) ◽

Author(s):

Xingqiu Zhao ◽

Xingwei Tong ◽

Liuquan Sun

Keyword(s):

Longitudinal Data ◽

Joint Analysis ◽

Observation Times ◽

Dependent Observation

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Tree-Structured Mixed-Effects Regression Modeling for Longitudinal Data

Journal of Computational and Graphical Statistics ◽

10.1080/10618600.2013.794732 ◽

2014 ◽

Vol 23 (3) ◽

pp. 740-760 ◽

Author(s):

Soo-Heang Eo ◽

HyungJun Cho

Keyword(s):

Longitudinal Data ◽

Mixed Effects ◽

Regression Modeling

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Joint Modelling of Survival and Longitudinal Data with Informative Observation Times

Scandinavian Journal of Statistics ◽

10.1111/sjos.12314 ◽

2018 ◽

Vol 45 (3) ◽

pp. 571-589 ◽

Author(s):

Hongsheng Dai ◽

Jianxin Pan

Keyword(s):

Longitudinal Data ◽

Joint Modelling ◽

Informative Observation Times ◽

Observation Times

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Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random Effects

New Developments in Statistical Modeling, Inference and Application - ICSA Book Series in Statistics ◽

10.1007/978-3-319-42571-9_2 ◽

2016 ◽

pp. 37-51 ◽

Author(s):

Yang Li ◽

Xin He ◽

Haiying Wang ◽

Jianguo Sun

Keyword(s):

Longitudinal Data ◽

Random Effects ◽

Time Dependent ◽

Joint Analysis ◽

Informative Observation Times ◽

Observation Times

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Quantile regression modeling of latent trajectory features with longitudinal data

Journal of Applied Statistics ◽

10.1080/02664763.2019.1620706 ◽

2019 ◽

Vol 46 (16) ◽

pp. 2884-2904

Author(s):

Huijuan Ma ◽

Limin Peng ◽

Haoda Fu

Keyword(s):

Longitudinal Data ◽

Quantile Regression ◽

Regression Modeling ◽

Latent Trajectory ◽

Trajectory Features

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Joint analysis of longitudinal data with additive mixed effect model for informative observation times

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2015.08.001 ◽

2016 ◽

Vol 169 ◽

pp. 43-55 ◽

Author(s):

Sha Fang ◽

Haixiang Zhang ◽

Liuquan Sun

Keyword(s):

Longitudinal Data ◽

Joint Analysis ◽

Mixed Effect Model ◽

Mixed Effect ◽

Informative Observation Times ◽

Effect Model ◽

Observation Times

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Joint modeling of longitudinal data with informative observation times and dropouts

Statistica Sinica ◽

10.5705/ss.2013.063 ◽

2014 ◽

Author(s):

Miao Han ◽

Xinyuan Song ◽

Liuquan Sun

Keyword(s):

Longitudinal Data ◽

Joint Modeling ◽

Informative Observation Times ◽

Observation Times

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Regression Analysis of Longitudinal Data with Time-Dependent Covariates and Informative Observation Times

Scandinavian Journal of Statistics ◽

10.1111/j.1467-9469.2011.00776.x ◽

2012 ◽

Vol 39 (2) ◽

pp. 248-258 ◽

Author(s):

XINYUAN SONG ◽

XIAOYUN MU ◽

LIUQUAN SUN

Keyword(s):

Regression Analysis ◽

Longitudinal Data ◽

Time Dependent ◽

Informative Observation Times ◽

Time Dependent Covariates ◽

Observation Times

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Regression Analysis of Panel Count Data with Dependent Observation Times

10.1111/j.1541-0420.2007.00808.x ◽

2007 ◽

Vol 63 (4) ◽

pp. 1053-1059 ◽

Author(s):

Jianguo Sun ◽

Xingwei Tong ◽

Xin He

Keyword(s):

Regression Analysis ◽

Panel Count Data ◽

Observation Times ◽

Dependent Observation

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