Literature DB >> 20458616

Discussion of "Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches", by Hanson, Branscum and Johnson.

Jeremy M G Taylor1.   

Abstract

Mesh:

Year:  2010        PMID: 20458616     DOI: 10.1007/s10985-010-9168-7

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


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  4 in total

1.  A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data.

Authors:  Cécile Proust; Hélène Jacqmin-Gadda; Jeremy M G Taylor; Julien Ganiayre; Daniel Commenges
Journal:  Biometrics       Date:  2006-12       Impact factor: 2.571

2.  Quantifying the predictive performance of prognostic models for censored survival data with time-dependent covariates.

Authors:  R Schoop; E Graf; M Schumacher
Journal:  Biometrics       Date:  2007-08-30       Impact factor: 2.571

3.  Simultaneously modelling censored survival data and repeatedly measured covariates: a Gibbs sampling approach.

Authors:  C L Faucett; D C Thomas
Journal:  Stat Med       Date:  1996-08-15       Impact factor: 2.373

4.  Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach.

Authors:  Cécile Proust-Lima; Jeremy M G Taylor
Journal:  Biostatistics       Date:  2009-04-15       Impact factor: 5.899

  4 in total
  1 in total

1.  Partly conditional estimation of the effect of a time-dependent factor in the presence of dependent censoring.

Authors:  Qi Gong; Douglas E Schaubel
Journal:  Biometrics       Date:  2013-05-02       Impact factor: 2.571

  1 in total

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