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'
Stat Med
.
2015 Jun 30;34(14):2202-3.
doi: 10.1002/sim.6502.
Authors
A Lawrence Gould
1
,
Mark Ernest Boye
2
,
Michael J Crowther
3
,
Joseph G Ibrahim
4
,
George Quartey
5
,
Sandrine Micallef
6
,
Frederic Y Bois
7
8
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.
PMID:
26032839
PMCID:
PMC4682363
DOI:
10.1002/sim.6502
No abstract available
Publication types
Comment
MeSH terms
Clinical Trials as Topic / methods*
Epidemiologic Research Design*
Humans
Models, Statistical*
Survival Analysis*
Grants and funding
DRF-2012-05-409/DH_/Department of Health/United Kingdom
P01 CA142538/CA/NCI NIH HHS/United States