Literature DB >> 3281208

Analysing changes in the presence of informative right censoring caused by death and withdrawal.

M C Wu1, K Bailey.   

Abstract

Several approaches for estimating and comparing the rates of change of a continuous variable in two treatment groups in the presence of informative right censoring are reviewed and compared. The comparisons are made under different models for the censoring probabilities and various types of treatment effects. Some recommendations are discussed regarding the application of these approaches to the different settings.

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Year:  1988        PMID： 3281208     DOI： 10.1002/sim.4780070134

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  16 in total

1.  Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout.

Authors:  Joseph W Hogan; Xihong Lin; Benjamin Herman
Journal:  Biometrics       Date:  2004-12       Impact factor: 2.571

2.  Nonparametric multistate representations of survival and longitudinal data with measurement error.

Authors:  Bo Hu; Liang Li; Xiaofeng Wang; Tom Greene
Journal:  Stat Med       Date:  2012-04-26       Impact factor: 2.373

3.  Multilevel models for longitudinal variables prognostic for survival.

Authors:  B L De Stavola; E Christensen
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

4.  Bayesian modeling and inference for clinical trials with partial retrieved data following dropout.

Authors:  Qingxia Chen; Ming-Hui Chen; David Ohlssen; Joseph G Ibrahim
Journal:  Stat Med       Date:  2013-04-26       Impact factor: 2.373

5.  Sensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial.

Authors:  Victoria Liublinska; Donald B Rubin
Journal:  Stat Med       Date:  2014-05-20       Impact factor: 2.373

6.  A Likelihood Based Approach for Joint Modeling of Longitudinal Trajectories and Informative Censoring Process.

Authors:  Miran A Jaffa; Ayad A Jaffa
Journal:  Commun Stat Theory Methods       Date:  2018-09-19       Impact factor: 0.893

7.  Slope Estimation for Bivariate Longitudinal Outcomes Adjusting for Informative Right Censoring Using Discrete Survival Model: Application to the Renal Transplant Cohort.

Authors:  Miran A Jaffa; Robert F Woolson; Stuart R Lipsitz
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2011-04       Impact factor: 2.483

8.  Pressure-limited ventilation with permissive hypercapnia and minimum PEEP in saline-lavaged rabbits allows progressive improvement in oxygenation, but does not avoid ventilator-induced lung injury.

Authors:  K G Hickling; I G Town; M Epton; A Neill; A Tie; M Whitehead; P Graham; E Everest; G A'Court; B Darlow; K Laubscher
Journal:  Intensive Care Med       Date:  1996-12       Impact factor: 17.440

9.  Joint modeling of multivariate longitudinal data and the dropout process in a competing risk setting: application to ICU data.

Authors:  Emmanuelle Deslandes; Sylvie Chevret
Journal:  BMC Med Res Methodol       Date:  2010-07-29       Impact factor: 4.615

10.  Joint Modeling of Covariates and Censoring Process Assuming Non-Constant Dropout Hazard.

Authors:  Miran A Jaffa; Ayad A Jaffa
Journal:  Stat Methods Appt       Date:  2015-04-01
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