-
1
-
-
84870465485
-
-
Fourth edition. Washington, D.C.: American Psychiatric Association
-
American Psychiatric Association. 1994. Diagnostic and Statistical Manual of Mental Disorders. Fourth edition. Washington, D.C.: American Psychiatric Association
-
(1994)
Diagnostic and Statistical Manual of Mental Disorders
-
-
-
2
-
-
0037869564
-
A Bayesian semiparametric joint hierarchical model for longitudinal and survival data
-
Brown ER, Ibrahim JG. 2003. A Bayesian semiparametric joint hierarchical model for longitudinal and survival data. Biometrics 59(2):221-228 DOI 10.1111/1541-0420.00028
-
(2003)
Biometrics
, vol.59
, Issue.2
, pp. 221-228
-
-
Brown, E.R.1
Ibrahim, J.G.2
-
3
-
-
38049108277
-
Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America
-
Cannon TD, Cadenhead K, Cornblatt B, Woods SW, Addington J, Walker E, Seidman LJ, Perkins D, Tsuang M, McGlashan T, Heinssen R. 2008. Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America. Archives of General Psychiatry 65(1):28-37 DOI 10.1001/archgenpsychiatry.2007.3
-
(2008)
Archives of General Psychiatry
, vol.65
, Issue.1
, pp. 28-37
-
-
Cannon, T.D.1
Cadenhead, K.2
Cornblatt, B.3
Woods, S.W.4
Addington, J.5
Walker, E.6
Seidman, L.J.7
Perkins, D.8
Tsuang, M.9
McGlashan, T.10
Heinssen, R.11
-
4
-
-
33745288267
-
Joint models for multivariate longitudinal and multivariate survival data
-
Chi Y-Y, Ibrahim JG. 2006. Joint models for multivariate longitudinal and multivariate survival data. Biometrics 62(2):432-445 DOI 10.1111/j.1541-0420.2005.00448.x
-
(2006)
Biometrics
, vol.62
, Issue.2
, pp. 432-445
-
-
Chi, Y.-Y.1
Ibrahim, J.G.2
-
6
-
-
0016794660
-
Partial likelihood
-
Cox DR. 1975. Partial likelihood. Biometrika 62(2):269-276 DOI 10.1093/biomet/62.2.269
-
(1975)
Biometrika
, vol.62
, Issue.2
, pp. 269-276
-
-
Cox, D.R.1
-
7
-
-
84875649987
-
Joint modeling of longitudinal and survival data
-
Crowther MJ, Abrams KR, Lambert PC. 2013. Joint modeling of longitudinal and survival data. Stata Journal 13(1):165-184
-
(2013)
Stata Journal
, vol.13
, Issue.1
, pp. 165-184
-
-
Crowther, M.J.1
Abrams, K.R.2
Lambert, P.C.3
-
9
-
-
0029763749
-
Simultaneously modelling censored survival data and repeatedly measured covariates: a Gibbs sampling approach
-
Faucett CL, Thomas DC. 1996. Simultaneously modelling censored survival data and repeatedly measured covariates: a Gibbs sampling approach. Statistics in Medicine 15(15):1663-1685 DOI 10.1002/(SICI)1097-0258(19960815)15:15<1663::AID-SIM294>3.0.CO;2-1
-
(1996)
Statistics in Medicine
, vol.15
, Issue.15
, pp. 1663-1685
-
-
Faucett, C.L.1
Thomas, D.C.2
-
10
-
-
84930151542
-
Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group
-
Gould AL, Boye ME, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY. 2015. Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group. Statistics in Medicine 34(14):2181-2195 DOI 10.1002/sim.6141
-
(2015)
Statistics in Medicine
, vol.34
, Issue.14
, pp. 2181-2195
-
-
Gould, A.L.1
Boye, M.E.2
Crowther, M.J.3
Ibrahim, J.G.4
Quartey, G.5
Micallef, S.6
Bois, F.Y.7
-
12
-
-
0000710136
-
Joint modelling of longitudinal measurements and event time data
-
Henderson R, Diggle P, Dobson A. 2000. Joint modelling of longitudinal measurements and event time data. Biostatistics 1(4):465-480 DOI 10.1093/biostatistics/1.4.465
-
(2000)
Biostatistics
, vol.1
, Issue.4
, pp. 465-480
-
-
Henderson, R.1
Diggle, P.2
Dobson, A.3
-
13
-
-
33845482505
-
Joint modeling of survival and longitudinal data: likelihood approach revisited
-
Hsieh F, Tseng Y-K, Wang J-L. 2006. Joint modeling of survival and longitudinal data: likelihood approach revisited. Biometrics 62(4):1037-1043 DOI 10.1111/j.1541-0420.2006.00570.x
-
(2006)
Biometrics
, vol.62
, Issue.4
, pp. 1037-1043
-
-
Hsieh, F.1
Tseng, Y.-K.2
Wang, J.-L.3
-
14
-
-
77954944281
-
Basic concepts and methods for joint models of longitudinal and survival data
-
Ibrahim JG, Chu H, Chen LM. 2010. Basic concepts and methods for joint models of longitudinal and survival data. Journal of Clinical Oncology 28(16):2796-2801 DOI 10.1200/JCO.2009.25.0654
-
(2010)
Journal of Clinical Oncology
, vol.28
, Issue.16
, pp. 2796-2801
-
-
Ibrahim, J.G.1
Chu, H.2
Chen, L.M.3
-
16
-
-
1342322973
-
-
New York: Springer
-
Lange K. 2004. Optimization. New York: Springer, 252
-
(2004)
Optimization
, pp. 252
-
-
Lange, K.1
-
17
-
-
84883157185
-
Advances in joint modelling: a review of recent developments with application to the survival of end stage renal disease patients
-
McCrink LM, Marshall AH, Cairns KJ. 2013. Advances in joint modelling: a review of recent developments with application to the survival of end stage renal disease patients. International Statistical Review 81(2):249-269 DOI 10.1111/insr.12018
-
(2013)
International Statistical Review
, vol.81
, Issue.2
, pp. 249-269
-
-
McCrink, L.M.1
Marshall, A.H.2
Cairns, K.J.3
-
18
-
-
84882404698
-
Long-term follow-up of a group at ultra high risk ("prodromal") for psychosis: the PACE 400 study
-
Nelson B, Yuen HP, Wood SJ, Lin A, Spiliotacopoulos D, Bruxner A, Broussard C, Simmons M, Foley DL, Brewer WJ, Francey SM, Amminger GP, Thompson A, McGorry PD, Yung AR. 2013. Long-term follow-up of a group at ultra high risk ("prodromal") for psychosis: the PACE 400 study. JAMA Psychiatry 70(8):793-802 DOI 10.1001/jamapsychiatry.2013.1270
-
(2013)
JAMA Psychiatry
, vol.70
, Issue.8
, pp. 793-802
-
-
Nelson, B.1
Yuen, H.P.2
Wood, S.J.3
Lin, A.4
Spiliotacopoulos, D.5
Bruxner, A.6
Broussard, C.7
Simmons, M.8
Foley, D.L.9
Brewer, W.J.10
Francey, S.M.11
Amminger, G.P.12
Thompson, A.13
McGorry, P.D.14
Yung, A.R.15
-
20
-
-
84994400676
-
-
Philipson P, Sousa I, Diggle P, Williamson P, Kolamunnage-Dona R, Henderson R. 2015. Package 'joineR'. Available at http://cran.r-project.org/web/packages/joineR/joineR.pdf
-
(2015)
Package 'joineR'
-
-
Philipson, P.1
Sousa, I.2
Diggle, P.3
Williamson, P.4
Kolamunnage-Dona, R.5
Henderson, R.6
-
23
-
-
77749317069
-
Covariate measurement errors and parameter estimation in a failure time regression model
-
Prentice RL. 1982. Covariate measurement errors and parameter estimation in a failure time regression model. Biometrika 69(2):331-342 DOI 10.1093/biomet/69.2.331
-
(1982)
Biometrika
, vol.69
, Issue.2
, pp. 331-342
-
-
Prentice, R.L.1
-
24
-
-
84963641621
-
-
Vienna: R foundation for Statistical Computing
-
R Core Team. 2014. R: a language and environment for statistical computing. Vienna: R foundation for Statistical Computing. Available at http://www. R-project.org/
-
(2014)
R: a language and environment for statistical computing
-
-
-
25
-
-
10944224477
-
Joint modeling of longitudinal and survival data via a common frailty
-
Ratcliffe SJ, Guo W, Ten Have TR. 2004. Joint modeling of longitudinal and survival data via a common frailty. Biometrics 60(4):892-899 DOI 10.1111/j.0006-341X.2004.00244.x
-
(2004)
Biometrics
, vol.60
, Issue.4
, pp. 892-899
-
-
Ratcliffe, S.J.1
Guo, W.2
Ten Have, T.R.3
-
26
-
-
77955157844
-
JM: an R package for the joint modelling of longitudinal and time-to-event data
-
Rizopoulos D. 2010. JM: an R package for the joint modelling of longitudinal and time-to-event data. Journal of Statistical Software 35(9):1-33 DOI 10.18637/jss.v035.i09
-
(2010)
Journal of Statistical Software
, vol.35
, Issue.9
, pp. 1-33
-
-
Rizopoulos, D.1
-
27
-
-
80455176985
-
Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule
-
Rizopoulos D. 2012. Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule. Computational Statistics & Data Analysis 56(3):491-501 DOI 10.1016/j.csda.2011.09.007
-
(2012)
Computational Statistics & Data Analysis
, vol.56
, Issue.3
, pp. 491-501
-
-
Rizopoulos, D.1
-
29
-
-
84905510040
-
Tools & techniques-statistics: dealing with time-varying covariates in survival analysis-joint models versus Cox models
-
Rizopoulos D, Takkenberg JJM. 2014. Tools & techniques-statistics: dealing with time-varying covariates in survival analysis-joint models versus Cox models. EuroIntervention 10(2): 285-288
-
(2014)
EuroIntervention
, vol.10
, Issue.2
, pp. 285-288
-
-
Rizopoulos, D.1
Takkenberg, J.J.M.2
-
31
-
-
40249113335
-
Shared parameter models under random effects misspecification
-
Rizopoulos D, Verbeke G, Molenberghs G. 2008. Shared parameter models under random effects misspecification. Biometrika 95(1):63-74 DOI 10.1093/biomet/asm087
-
(2008)
Biometrika
, vol.95
, Issue.1
, pp. 63-74
-
-
Rizopoulos, D.1
Verbeke, G.2
Molenberghs, G.3
-
32
-
-
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. 2002. 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 21(15):2175-2197 DOI 10.1002/sim.1203
-
(2002)
Statistics in Medicine
, vol.21
, Issue.15
, pp. 2175-2197
-
-
Royston, P.1
Parmar, M.K.B.2
-
33
-
-
77649201030
-
Prediction of psychosis in adolescents and young adults at high risk: results from the prospective European prediction of psychosis study
-
Ruhrmann S, Schultze-Lutter F, Salokangas RKR, Heinimaa M, Linszen D, Dingemans P, Birchwood M, Patterson P, Juckel G, Heinz A, Morrison A, Lewis S, von Reventlow HG, Klosterkötter J. 2010. Prediction of psychosis in adolescents and young adults at high risk: results from the prospective European prediction of psychosis study. Archives of General Psychiatry 67(3):241-251 DOI 10.1001/archgenpsychiatry.2009.206
-
(2010)
Archives of General Psychiatry
, vol.67
, Issue.3
, pp. 241-251
-
-
Ruhrmann, S.1
Schultze-Lutter, F.2
Salokangas, R.K.R.3
Heinimaa, M.4
Linszen, D.5
Dingemans, P.6
Birchwood, M.7
Patterson, P.8
Juckel, G.9
Heinz, A.10
Morrison, A.11
Lewis, S.12
von Reventlow, H.G.13
Klosterkötter, J.14
-
34
-
-
0442310599
-
Modeling a marker of disease progression and onset of disease
-
Jewell NP, Dietz K, Farewell VT, eds. Boston: Birkhäusers
-
Self S, Pawitan Y. 1992. Modeling a marker of disease progression and onset of disease. In: Jewell NP, Dietz K, Farewell VT, eds. AIDS Epidemiology: Methodological Issues. Boston: Birkhäuser
-
(1992)
AIDS Epidemiology: Methodological Issues
-
-
Self, S.1
Pawitan, Y.2
-
35
-
-
2342525727
-
An estimator for the proportional hazards model with multiple longitudinal covariates measured with error
-
Song XA, Davidian M, Tsiatis AA. 2002. An estimator for the proportional hazards model with multiple longitudinal covariates measured with error. Biostatistics 3(4):511-528 DOI 10.1093/biostatistics/3.4.511
-
(2002)
Biostatistics
, vol.3
, Issue.4
, pp. 511-528
-
-
Song, X.A.1
Davidian, M.2
Tsiatis, A.A.3
-
36
-
-
80052418167
-
Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture
-
Sweeting MJ, Thompson SG. 2011. Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture. Biometrical Journal 53(5):750-763 DOI 10.1002/bimj.201100052
-
(2011)
Biometrical Journal
, vol.53
, Issue.5
, pp. 750-763
-
-
Sweeting, M.J.1
Thompson, S.G.2
-
37
-
-
84921487298
-
Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data
-
Tang A-M, Tang N-S. 2015. Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data. Statistics in Medicine 34(5):824-843 DOI 10.1002/sim.6373
-
(2015)
Statistics in Medicine
, vol.34
, Issue.5
, pp. 824-843
-
-
Tang, A.-M.1
Tang, N.-S.2
-
38
-
-
84901922514
-
Semiparametric Bayesian joint models of multivariate longitudinal and survival data
-
Tang N-S, Tang A-M, Pan D-D. 2014. Semiparametric Bayesian joint models of multivariate longitudinal and survival data. Computational Statistics & Data Analysis 77:113-129 DOI 10.1016/j.csda.2014.02.015
-
(2014)
Computational Statistics & Data Analysis
, vol.77
, pp. 113-129
-
-
Tang, N.-S.1
Tang, A.-M.2
Pan, D.-D.3
-
40
-
-
0001659147
-
A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
-
Tsiatis AA, Davidian M. 2001. A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error. Biometrika 88(2):447-458 DOI 10.1093/biomet/88.2.447
-
(2001)
Biometrika
, vol.88
, Issue.2
, pp. 447-458
-
-
Tsiatis, A.A.1
Davidian, M.2
-
41
-
-
21844506206
-
Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS
-
Tsiatis AA, Degruttola V, Wulfsohn MS. 1995. Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS. Journal of the American Statistical Association 90(429):27-37 DOI 10.1080/01621459.1995.10476485
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.429
, pp. 27-37
-
-
Tsiatis, A.A.1
Degruttola, V.2
Wulfsohn, M.S.3
-
43
-
-
84863350776
-
Analysis of longitudinal and survival data: joint modeling, inferencemethods, and issues
-
Wu L, Liu W, Yi GY, Huang Y. 2012. Analysis of longitudinal and survival data: joint modeling, inferencemethods, and issues. Journal of Probability and Statistics 2012:17 DOI 10.1155/2012/640153
-
(2012)
Journal of Probability and Statistics
, vol.2012
, pp. 17
-
-
Wu, L.1
Liu, W.2
Yi, G.Y.3
Huang, Y.4
-
44
-
-
0030893266
-
A joint model for survival and longitudinal data measured with error
-
Wulfsohn MS, Tsiatis AA. 1997. A joint model for survival and longitudinal data measured with error. Biometrics 53(1):330-339 DOI 10.2307/2533118
-
(1997)
Biometrics
, vol.53
, Issue.1
, pp. 330-339
-
-
Wulfsohn, M.S.1
Tsiatis, A.A.2
-
45
-
-
0035650134
-
Joint analysis of longitudinal data comprising repeated measures and times to events
-
Xu J, Zeger SL. 2001. Joint analysis of longitudinal data comprising repeated measures and times to events. Journal of the Royal Statistical Society: Series C (Applied Statistics) 50(3):375-387 DOI 10.1111/1467-9876.00241
-
(2001)
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, vol.50
, Issue.3
, pp. 375-387
-
-
Xu, J.1
Zeger, S.L.2
-
46
-
-
56049124129
-
Semiparametric modeling of longitudinal measurements and time-to-event data-a two-stage regression calibration approach
-
Ye W, Lin X, Taylor JMG. 2008. Semiparametric modeling of longitudinal measurements and time-to-event data-a two-stage regression calibration approach. Biometrics 64(4):1238-1246 DOI 10.1111/j.1541-0420.2007.00983.x
-
(2008)
Biometrics
, vol.64
, Issue.4
, pp. 1238-1246
-
-
Ye, W.1
Lin, X.2
Taylor, J.M.G.3
-
47
-
-
0029884080
-
Monitoring and care of young people at incipient risk of psychosis
-
Yung AR, McGorry PD, McFarlane CA, Jackson HJ, Patton GC, Rakkar A. 1996. Monitoring and care of young people at incipient risk of psychosis. Schizophrenia Bulletin 22(2):283-303 DOI 10.1093/schbul/22.2.283
-
(1996)
Schizophrenia Bulletin
, vol.22
, Issue.2
, pp. 283-303
-
-
Yung, A.R.1
McGorry, P.D.2
McFarlane, C.A.3
Jackson, H.J.4
Patton, G.C.5
Rakkar, A.6
-
48
-
-
0037333669
-
Psychosis prediction: 12-month follow up of a high-risk ("prodromal") group
-
Yung AR, Phillips LJ, Yuen HP, Francey SM, McFarlane CA, Hallgren M, McGorry PD. 2003. Psychosis prediction: 12-month follow up of a high-risk ("prodromal") group. Schizophrenia Research 60(1):21-32 DOI 10.1016/S0920-9964(02)00167-6
-
(2003)
Schizophrenia Research
, vol.60
, Issue.1
, pp. 21-32
-
-
Yung, A.R.1
Phillips, L.J.2
Yuen, H.P.3
Francey, S.M.4
McFarlane, C.A.5
Hallgren, M.6
McGorry, P.D.7
-
49
-
-
1342343074
-
Risk factors for psychosis in an ultra high-risk group: psychopathology and clinical features
-
Yung AR, Phillips LJ, Yuen HP, McGorry PD. 2004. Risk factors for psychosis in an ultra high-risk group: psychopathology and clinical features. Schizophrenia Research 67(2-3):131-142 DOI 10.1016/S0920-9964(03)00192-0
-
(2004)
Schizophrenia Research
, vol.67
, Issue.2-3
, pp. 131-142
-
-
Yung, A.R.1
Phillips, L.J.2
Yuen, H.P.3
McGorry, P.D.4
|