-
1
-
-
0030893266
-
A joint model for survival and longitudinal data measured with error
-
Wulfsohn MS, Tsiatis AA. A joint model for survival and longitudinal data measured with error. Biometrics 1997; 53(1):330-339.
-
(1997)
Biometrics
, vol.53
, Issue.1
, pp. 330-339
-
-
Wulfsohn, M.S.1
Tsiatis, A.A.2
-
2
-
-
0000710136
-
Joint modelling of longitudinal measurements and event time data
-
Henderson R, Diggle P, Dobson A. Joint modelling of longitudinal measurements and event time data. Biostatistics 2000; 1(4):465-480.
-
(2000)
Biostatistics
, vol.1
, Issue.4
, pp. 465-480
-
-
Henderson, R.1
Diggle, P.2
Dobson, A.3
-
3
-
-
24144440046
-
Joint modelling of accelerated failure time and longitudinal data
-
Tseng YK, Hsieh F, Wang JL. Joint modelling of accelerated failure time and longitudinal data. Biometrika 2005; 92(3):587-603.
-
(2005)
Biometrika
, vol.92
, Issue.3
, pp. 587-603
-
-
Tseng, Y.K.1
Hsieh, F.2
Wang, J.L.3
-
4
-
-
77954944281
-
Basic concepts and methods for joint models of longitudinal and survival data
-
Ibrahim JG, Chu H, Chen LM. Basic concepts and methods for joint models of longitudinal and survival data. Journal of Clinical Oncology 2010; 28(16):2796-2801.
-
(2010)
Journal of Clinical Oncology
, vol.28
, Issue.16
, pp. 2796-2801
-
-
Ibrahim, J.G.1
Chu, H.2
Chen, L.M.3
-
5
-
-
36749005103
-
Joint models for a primary endpoint and multiple longitudinal covariate processes
-
Li E, Wang N, Wang NY. Joint models for a primary endpoint and multiple longitudinal covariate processes. Biometrics 2007; 63(4):1068-1078.
-
(2007)
Biometrics
, vol.63
, Issue.4
, pp. 1068-1078
-
-
Li, E.1
Wang, N.2
Wang, N.Y.3
-
6
-
-
79955847737
-
A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event
-
Rizopoulos D, Ghosh P. A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event. Statistics in Medicine 2011; 30(12):1366-1380.
-
(2011)
Statistics in Medicine
, vol.30
, Issue.12
, pp. 1366-1380
-
-
Rizopoulos, D.1
Ghosh, P.2
-
7
-
-
63249095015
-
Joint modelling of longitudinal and competing risks data
-
Williamson PR, Kolamunnage-Dona R, Philipson P, Marson AG. Joint modelling of longitudinal and competing risks data. Statistics in Medicine 2008; 27(30):6426-6438.
-
(2008)
Statistics in Medicine
, vol.27
, Issue.30
, pp. 6426-6438
-
-
Williamson, P.R.1
Kolamunnage-Dona, R.2
Philipson, P.3
Marson, A.G.4
-
8
-
-
0042485002
-
The joint modeling of a longitudinal disease progression marker and the failure time process in the presence of cure
-
Law NJ, Taylor JMG, Sandler H. The joint modeling of a longitudinal disease progression marker and the failure time process in the presence of cure. Biostatistics 2002; 3(4):547-563.
-
(2002)
Biostatistics
, vol.3
, Issue.4
, pp. 547-563
-
-
Law, N.J.1
Taylor, J.M.G.2
Sandler, H.3
-
9
-
-
33745288267
-
Joint models for multivariate longitudinal and multivariate survival data
-
Chi YY, Ibrahim JG. Joint models for multivariate longitudinal and multivariate survival data. Biometrics 2006; 62(2):432-445.
-
(2006)
Biometrics
, vol.62
, Issue.2
, pp. 432-445
-
-
Chi, Y.Y.1
Ibrahim, J.G.2
-
10
-
-
8644246036
-
Joint modeling of longitudinal and time-to-event data: an overview
-
Tsiatis AA, Davidian M. Joint modeling of longitudinal and time-to-event data: an overview. Statistica Sinica 2004; 14:809-834.
-
(2004)
Statistica Sinica
, vol.14
, pp. 809-834
-
-
Tsiatis, A.A.1
Davidian, M.2
-
11
-
-
8644269772
-
Joint longitudinal-survival-cure models and their application to prostate cancer
-
Yu M, Law NJ, Taylor JMG, Sandler H. Joint longitudinal-survival-cure models and their application to prostate cancer. Statistica Sinica 2004; 14:835-862.
-
(2004)
Statistica Sinica
, vol.14
, pp. 835-862
-
-
Yu, M.1
Law, N.J.2
Taylor, J.M.G.3
Sandler, H.4
-
12
-
-
84946045727
-
Approximations to the log-likelihood function in the nonlinear mixed-effects model
-
Pinheiro JC, Bates DM. Approximations to the log-likelihood function in the nonlinear mixed-effects model. Journal of Computational and Graphical Statistics 1995; 4(1):12-35.
-
(1995)
Journal of Computational and Graphical Statistics
, vol.4
, Issue.1
, pp. 12-35
-
-
Pinheiro, J.C.1
Bates, D.M.2
-
13
-
-
0037102914
-
Flexible parametric proportional hazards and proportional odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects
-
Royston P, Parmar MKB. Flexible parametric proportional hazards and proportional odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Statistics in Medicine 2002; 21(15):2175-2197.
-
(2002)
Statistics in Medicine
, vol.21
, Issue.15
, pp. 2175-2197
-
-
Royston, P.1
Parmar, M.K.B.2
-
15
-
-
0024596532
-
Flexible regression models with cubic splines
-
Durrleman S, Simon R. Flexible regression models with cubic splines. Statistics in Medicine 1989; 8(5):551-561.
-
(1989)
Statistics in Medicine
, vol.8
, Issue.5
, pp. 551-561
-
-
Durrleman, S.1
Simon, R.2
-
16
-
-
68949111979
-
Further development of flexible parametric models for survival analysis
-
Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. The Stata Journal 2009; 9:265-290.
-
(2009)
The Stata Journal
, vol.9
, pp. 265-290
-
-
Lambert, P.C.1
Royston, P.2
-
17
-
-
80052787679
-
Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data
-
Rizopoulos D. Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data. Biometrics 2011; 67(3):819-829.
-
(2011)
Biometrics
, vol.67
, Issue.3
, pp. 819-829
-
-
Rizopoulos, D.1
-
21
-
-
0013105470
-
Reliable estimation of generalized linear mixed models using adaptive quadrature
-
Rabe-Hesketh S, Skrondal A, Pickles A. Reliable estimation of generalized linear mixed models using adaptive quadrature. The Stata Journal 2002; 2:1-21.
-
(2002)
The Stata Journal
, vol.2
, pp. 1-21
-
-
Rabe-Hesketh, S.1
Skrondal, A.2
Pickles, A.3
-
22
-
-
84870896779
-
-
STJM: Stata module to fit shared parameter joint models of longitudinal and survival data. Statistical Software Components, Boston College Department of Economics, August .
-
Crowther MJ. STJM: Stata module to fit shared parameter joint models of longitudinal and survival data. Statistical Software Components, Boston College Department of Economics, August 2012.
-
(2012)
-
-
Crowther, M.J.1
-
23
-
-
77955157844
-
JM: An R Package for the joint modelling of longitudinal and time-to-event data
-
7
-
Rizopoulos D. JM: An R Package for the joint modelling of longitudinal and time-to-event data. Journal of Statistical Software 7 2010; 35(9):1-33.
-
(2010)
Journal of Statistical Software
, vol.35
, Issue.9
, pp. 1-33
-
-
Rizopoulos, D.1
-
24
-
-
19944372078
-
Generating survival times to simulate Cox proportional hazards models
-
Bender R, Augustin T, Blettner M. Generating survival times to simulate Cox proportional hazards models. Statistics in Medicine 2005; 24(11):1713-1723.
-
(2005)
Statistics in Medicine
, vol.24
, Issue.11
, pp. 1713-1723
-
-
Bender, R.1
Augustin, T.2
Blettner, M.3
-
27
-
-
77949348568
-
Estimating the crude probability of death due to cancer and other causes using relative survival models
-
Lambert PC, Dickman PW, Nelson CP, Royston P. Estimating the crude probability of death due to cancer and other causes using relative survival models. Statistics in Medicine 2010; 29(7-8):885-895.
-
(2010)
Statistics in Medicine
, vol.29
, Issue.7-8
, pp. 885-895
-
-
Lambert, P.C.1
Dickman, P.W.2
Nelson, C.P.3
Royston, P.4
-
29
-
-
0034086702
-
Handling uncertainty in cost-effectiveness models
-
Briggs AH. Handling uncertainty in cost-effectiveness models. Pharmacoeconomics 2000; 17(5):479-500.
-
(2000)
Pharmacoeconomics
, vol.17
, Issue.5
, pp. 479-500
-
-
Briggs, A.H.1
-
30
-
-
79959332508
-
Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models
-
Andersson TM, Dickman PW, Eloranta S, Lambert PC. Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models. BMC Medical Research Methodology 2011; 11:96.
-
(2011)
BMC Medical Research Methodology
, vol.11
, pp. 96
-
-
Andersson, T.M.1
Dickman, P.W.2
Eloranta, S.3
Lambert, P.C.4
-
31
-
-
1342289473
-
Separate and joint modeling of longitudinal and event time data using standard computer packages
-
Guo X, Carlin BP. Separate and joint modeling of longitudinal and event time data using standard computer packages. The American Statistician 2004; 58(1):16-24.
-
(2004)
The American Statistician
, vol.58
, Issue.1
, pp. 16-24
-
-
Guo, X.1
Carlin, B.P.2
-
32
-
-
15044356987
-
A flexible B-spline model for multiple longitudinal biomarkers and survival
-
Brown ER, Ibrahim JG, DeGruttola V. A flexible B-spline model for multiple longitudinal biomarkers and survival. Biometrics 2005; 61(1):64-73.
-
(2005)
Biometrics
, vol.61
, Issue.1
, pp. 64-73
-
-
Brown, E.R.1
Ibrahim, J.G.2
DeGruttola, V.3
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