Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group'

Affiliations

¹ Merck Research Laboratories, 351 North Sumneytown Pike, North Wales, 19454, PA, U.S.A.
² Eli Lilly, 893 S. Delaware Street, Indianapolis, 46285, IN, U.S.A.
³ Department of Health Sciences, University of Leicester, Adrian Building, University Road, Leicester, LE1 7RH, U.K.
⁴ Department of Statistics and Operations Research, University of North Carolina, 318 Hanes Hall, Chapel Hill, 27599, NC, U.S.A.
⁵ Genentech, South San Francisco, CA, U.S.A.
⁶ Sanofi-Aventis, Paris, France.
⁷ Centre de Recherche de Royallieu, Université de Technologie de Compiègne, Compiègne Cedex, 60205, France.
⁸ INERIS/CRD/VIVA/METO, Verneuil en Halatte, France.

Comment

A Lawrence Gould et al. Stat Med. 2015.

. 2015 Jun 30;34(14):2202-3.

doi: 10.1002/sim.6502.

¹ Merck Research Laboratories, 351 North Sumneytown Pike, North Wales, 19454, PA, U.S.A.
² Eli Lilly, 893 S. Delaware Street, Indianapolis, 46285, IN, U.S.A.
³ Department of Health Sciences, University of Leicester, Adrian Building, University Road, Leicester, LE1 7RH, U.K.
⁴ Department of Statistics and Operations Research, University of North Carolina, 318 Hanes Hall, Chapel Hill, 27599, NC, U.S.A.
⁵ Genentech, South San Francisco, CA, U.S.A.
⁶ Sanofi-Aventis, Paris, France.
⁷ Centre de Recherche de Royallieu, Université de Technologie de Compiègne, Compiègne Cedex, 60205, France.
⁸ INERIS/CRD/VIVA/METO, Verneuil en Halatte, France.

No abstract available

Comment on

Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group.
Lawrence Gould A, Boye ME, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY. Lawrence Gould A, et al. Stat Med. 2015 Jun 30;34(14):2181-95. doi: 10.1002/sim.6141. Epub 2014 Mar 14. Stat Med. 2015. PMID: 24634327 Free PMC article. Review.

1. Proust-Lima C, Joly P, Dartigues J-F, Jacqmin-Gadda H. Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach. Computational Statistics and Data Analysis. 2009;53:1142–1154.
1. Dantan E, Proust-Lima C, Letenneur L, Jacqmin-Gadda H. Pattern mixture models and latent class models for the analysis of multivariate longitudinal data with informative dropouts. The International Journal of Biostatistics. 2008;4(1):1–28. - PubMed