Use of OSWALD for analyzing longitudinal data with informative dropout

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2006.10.006 ◽

2007 ◽

Vol 85 (2) ◽

pp. 109-114 ◽

Author(s):

Amy E. Begley ◽

Gong Tang ◽

Sati Mazumdar ◽

Patricia R. Houck ◽

John Scott ◽

...

Keyword(s):

Longitudinal Data ◽

Informative Dropout

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Testing for the presence of multiple sources of informative dropout in longitudinal data

Statistics in Medicine ◽

10.1002/sim.3287 ◽

2008 ◽

Vol 27 (21) ◽

pp. 4175-4189 ◽

Author(s):

S. B. Crawford ◽

J. J. Hanfelt

Keyword(s):

Longitudinal Data ◽

Multiple Sources ◽

Informative Dropout

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A shared-parameter continuous-time hidden Markov and survival model for longitudinal data with informative dropout

Statistics in Medicine ◽

10.1002/sim.7994 ◽

2018 ◽

Vol 38 (6) ◽

pp. 1056-1073 ◽

Author(s):

Francesco Bartolucci ◽

Alessio Farcomeni

Keyword(s):

Longitudinal Data ◽

Continuous Time ◽

Hidden Markov ◽

Survival Model ◽

Informative Dropout

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Joint modeling of longitudinal data and informative dropout time in the presence of multiple changepoints

Statistics in Medicine ◽

10.1002/sim.4119 ◽

2010 ◽

Vol 30 (6) ◽

pp. 611-626 ◽

Author(s):

Pulak Ghosh ◽

Kaushik Ghosh ◽

Ram C. Tiwari

Keyword(s):

Longitudinal Data ◽

Joint Modeling ◽

Informative Dropout

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Functional principal component analysis for longitudinal data with informative dropout

Statistics in Medicine ◽

10.1002/sim.8798 ◽

2020 ◽

Vol 40 (3) ◽

pp. 712-724

Author(s):

Haolun Shi ◽

Jianghu Dong ◽

Liangliang Wang ◽

Jiguo Cao

Keyword(s):

Principal Component Analysis ◽

Longitudinal Data ◽

Principal Component ◽

Component Analysis ◽

Functional Principal Component Analysis ◽

Informative Dropout ◽

Functional Principal Component

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Analyzing Longitudinal Data in the Presence of Informative Dropout: The Jmre1 Command

The Stata Journal Promoting communications on statistics and Stata ◽

10.1177/1536867x1001000204 ◽

2010 ◽

Vol 10 (2) ◽

pp. 226-251 ◽

Author(s):

Nikos Pantazis ◽

Giota Touloumi

Keyword(s):

Longitudinal Data ◽

Informative Dropout

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A Joint Model for Nonlinear Longitudinal Data with Informative Dropout

Journal of Pharmacokinetics and Pharmacodynamics ◽

10.1023/a:1023249510224 ◽

2003 ◽

Vol 30 (1) ◽

pp. 83-103 ◽

Author(s):

Chuanpu Hu ◽

Mark E. Sale

Keyword(s):

Longitudinal Data ◽

Joint Model ◽

Informative Dropout

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Joint modelling of bivariate longitudinal data with informative dropout and left-censoring, with application to the evolution of CD4+ cell count and HIV RNA viral load in response to treatment of HIV infection

Statistics in Medicine ◽

10.1002/sim.1923 ◽

2004 ◽

Vol 24 (1) ◽

pp. 65-82 ◽

Author(s):

Rodolphe Thiébaut ◽

Hélène Jacqmin-Gadda ◽

Abdel Babiker ◽

Daniel Commenges ◽

Keyword(s):

Longitudinal Data ◽

Hiv Infection ◽

Response To Treatment ◽

Informative Dropout ◽

Joint Modelling ◽

Cd4 Cell Count ◽

Hiv Rna ◽

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Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data

Journal of Applied Statistics ◽

10.1080/02664763.2010.491969 ◽

2011 ◽

Vol 38 (6) ◽

pp. 1249-1264

Author(s):

Sara B. Crawford ◽

John J. Hanfelt

Keyword(s):

Longitudinal Data ◽

Multiple Sources ◽

Informative Dropout ◽

Qualitative Interaction

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Loglinear Models for Longitudinal Data: Prospects and Limitations

Contemporary Psychology ◽

10.1037/002425 ◽

2001 ◽

Vol 46 (5) ◽

pp. 506-508

Author(s):

Daniel A. Powers

Keyword(s):

Longitudinal Data ◽

Loglinear Models

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Developmental Change in Speed of Processing: Longitudinal Data

PsycEXTRA Dataset ◽

10.1037/e416902005-229 ◽

2003 ◽

Author(s):

Robert V. Kail ◽

Carol A. Miller

Keyword(s):

Longitudinal Data ◽

Developmental Change ◽

Speed Of Processing

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