메뉴 건너뛰기




Volumn 21, Issue 5, 2011, Pages 971-991

Joint modeling of multiple longitudinal patient-reported outcomes and survival

Author keywords

Cancer; Failure time; Multivariate analysis; Random effects model; Repeated measures

Indexed keywords

ARTICLE; LONGITUDINAL STUDY; MEDICAL DECISION MAKING; OUTCOME ASSESSMENT; PHASE 3 CLINICAL TRIAL (TOPIC); PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL;

EID: 80051709085     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2011.590922     Document Type: Article
Times cited : (31)

References (50)
  • 1
    • 9644302362 scopus 로고    scopus 로고
    • Bayesian modeling of animal- and herd-level prevalences
    • DOI 10.1016/j.prevetmed.2004.09.009, PII S0167587704001795
    • Branscum, A., Gardner, I., Johnson, W. (2004). Bayesian modeling of animal- and herd-level prevalences. Journal of Veterinary Medicine 66:101-112. (Pubitemid 39569138)
    • (2004) Preventive Veterinary Medicine , vol.66 , Issue.1-4 , pp. 101-112
    • Branscum, A.J.1    Gardner, I.A.2    Johnson, W.O.3
  • 2
    • 0032273615 scopus 로고    scopus 로고
    • General methods for monitoring convergence of iterative simulations
    • Brooks, S., Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics 7:434-455. (Pubitemid 128635035)
    • (1998) Journal of Computational and Graphical Statistics , vol.7 , Issue.4 , pp. 434-455
    • Brooks, S.P.1    Gelman, A.2
  • 3
    • 0037869564 scopus 로고    scopus 로고
    • A Bayesian semiparametric joint hierarchical model for longitudinal and survival data
    • DOI 10.1111/1541-0420.00028
    • Brown, E., Ibrahim, J. (2003). A Bayesian semiparametric joint hierarchical model for longitudinal and survival data. Biometrics 59:221-228. (Pubitemid 36750335)
    • (2003) Biometrics , vol.59 , Issue.2 , pp. 221-228
    • Brown, E.R.1    Ibrahim, J.G.2
  • 4
    • 15044356987 scopus 로고    scopus 로고
    • A flexible B-spline model for multiple longitudinal biomarkers and survival
    • DOI 10.1111/j.0006-341X.2005.030929.x
    • Brown, E., Ibrahim, J., DeGruttola, V. (2005). A flexible B-spline model for multiple longitudinal biomarkers and survival. Biometrics 61:64-73. (Pubitemid 40380965)
    • (2005) Biometrics , vol.61 , Issue.1 , pp. 64-73
    • Brown, E.R.1    Ibrahim, J.G.2    DeGruttola, V.3
  • 6
    • 3442892535 scopus 로고    scopus 로고
    • A new joint model for longitudinal and survival data with a cure fraction
    • DOI 10.1016/j.jmva.2004.04.005, PII S0047259X0400079X
    • Chen, M.-H., Ibrahim, J., Sinha, D. (2004). A new joint model for longitudinal and survival data with a cure fraction. Journal of Multivariate Analysis 91:18-34. (Pubitemid 39007498)
    • (2004) Journal of Multivariate Analysis , vol.91 , Issue.1 , pp. 18-34
    • Chen, M.-H.1    Ibrahim, J.G.2    Sinha, D.3
  • 7
    • 33745288267 scopus 로고    scopus 로고
    • Joint models for multivariate longitudinal and multivariate survival data
    • DOI 10.1111/j.1541-0420.2005.00448.x
    • Chi, Y.-Y., Ibrahim, J. (2006). Joint models for multivariate longitudinal and multivari- ate survival data. Biometrics 62:432-445. (Pubitemid 43926648)
    • (2006) Biometrics , vol.62 , Issue.2 , pp. 432-445
    • Chi, Y.-Y.1    Ibrahim, J.G.2
  • 8
    • 34547502683 scopus 로고    scopus 로고
    • Bayesian approaches to joint longitudinal and survival models accommodating both zero and nonzero cure fractions
    • Chi, Y.-Y., Ibrahim, J. (2007). Bayesian approaches to joint longitudinal and survival models accommodating both zero and nonzero cure fractions. Statistica Sinica 17:445-462.
    • (2007) Statistica Sinica , vol.17 , pp. 445-462
    • Chi, Y.-Y.1    Ibrahim, J.2
  • 9
    • 21644435901 scopus 로고    scopus 로고
    • Bayesian latent variable models for mixed discrete outcomes
    • DOI 10.1093/biostatistics/kxh025
    • Dunson, D., Herring, A. (2005). Bayesian latent variable models for mixed discrete outcomes. Biostatistics 6:11-25. (Pubitemid 41240366)
    • (2005) Biostatistics , vol.6 , Issue.1 , pp. 11-25
    • Dunson, D.B.1    Herring, A.H.2
  • 10
    • 49749119975 scopus 로고    scopus 로고
    • A joint model for longitudinal measurements and survival data in the presence of multiple failure types
    • Elashoff, R., Li, G., Li, N. (2008). A joint model for longitudinal measurements and survival data in the presence of multiple failure types. Biometrics 64:762-771.
    • (2008) Biometrics , vol.64 , pp. 762-771
    • Elashoff, R.1    Li, G.2    Li, N.3
  • 11
    • 0032369670 scopus 로고    scopus 로고
    • Analysis of censored survival data with intermittently observed time-dependent binary covariates
    • Faucett, C., Schenker, N., Elashoff, R. (1998). Analysis of censored survival data with intermittently observed time-dependent binary covariates. Journal of the American Statistical Association 93:427-437.
    • (1998) Journal of the American Statistical Association , vol.93 , pp. 427-437
    • Faucett, C.1    Schenker, N.2    Elashoff, R.3
  • 12
    • 0029763749 scopus 로고    scopus 로고
    • Simultaneously modelling censored survival data and repeatedly measured covariates: A Gibbs sampling approach
    • DOI 10.1002/(SICI)1097-0258(19960815)15:15<1663::AID-SIM294>3.0. CO;2-1
    • Faucett, C., Thomas, D. (1996). Simultaneously modelling censored survival data and repeatedly measured covariates: A Gibbs sampling approach. Statistics in Medicine 15:1663-1685. (Pubitemid 26261589)
    • (1996) Statistics in Medicine , vol.15 , Issue.15 , pp. 1663-1685
    • Faucett, C.L.1    Thomas, D.C.2
  • 14
    • 36448978298 scopus 로고    scopus 로고
    • Validation and comparison of the health-related quality-of-life instruments EORTC QLQ-C30 and SF-36 in assessment of patients with chronic nonmalignant pain
    • DOI 10.1016/j.jpainsymman.2007.01.011, PII S0885392407004228
    • Fredheim, O., Borchgrevink, P., Saltnes, T., Kaasa, S. (2007). Validation and comparison of the health-related quality-of-life instruments EORTC QLQ-C30 and SF-36 in assessment of patients with chronic nonmalignant pain. Journal of Pain and Symptom Management 34:657-665. (Pubitemid 350167512)
    • (2007) Journal of Pain and Symptom Management , vol.34 , Issue.6 , pp. 657-665
    • Fredheim, O.M.S.1    Borchgrevink, P.C.2    Saltnes, T.3    Kaasa, S.4
  • 16
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A., Rubin, D. (1992). Inference from iterative simulation using multiple sequences. Statistical Science 7:457-472.
    • (1992) Statistical Science , vol.7 , pp. 457-472
    • Gelman, A.1    Rubin, D.2
  • 17
    • 56349168367 scopus 로고    scopus 로고
    • A Bayesian analysis for longitudinal semicontinuous data with an application to an acupunture clinical trial
    • Ghosh, P., Albert, P. (2009). A Bayesian analysis for longitudinal semicontinuous data with an application to an acupunture clinical trial. Computational Statistics and Data Analysis 53:699-706.
    • (2009) Computational Statistics and Data Analysis , vol.53 , pp. 699-706
    • Ghosh, P.1    Albert, P.2
  • 18
    • 78651458676 scopus 로고    scopus 로고
    • Predictive comparison of joint longitudinalsurvival modeling: A case study illustrating competing approaches
    • Doi:10.1007/s10985-010-9162-0
    • Hanson, T., Branscum, A., Johnson, W. (2010). Predictive comparison of joint longitudinalsurvival modeling: a case study illustrating competing approaches. Lifetime Data Analysis (online ahead of print). Doi: 10.1007/s10985-010-9162-0.
    • (2010) Lifetime Data Analysis (Online Ahead of Print)
    • Hanson, T.1    Branscum, A.2    Johnson, W.3
  • 19
    • 0000710136 scopus 로고    scopus 로고
    • Joint modelling of longitudinal measurements and event time data
    • DOI 10.1093/biostatistics/1.4.465
    • Henderson, R., Diggle, P., Dobson, A. (2000). Joint modeling of longitudinal measurements and event time data. Biostatistics 4:465-480. (Pubitemid 33213549)
    • (2000) Biostatistics Oxford , vol.1 , Issue.4 , pp. 465-480
    • Henderson, R.1    Diggle, P.2    Dobson, A.3
  • 21
    • 31044452195 scopus 로고    scopus 로고
    • Measuring quality of life in patients with pleural mesothelioma using a modified version of the Lung Cancer Symptom Scale (LCSS): Psychometric properties of the LCSS-Meso
    • DOI 10.1007/s00520-005-0837-0
    • Hollen, P., Gralla, R., Liepa, A., Symanowski, J., Rusthoven, J. (2006). Measuring quality of life in patients with pleural mesothelioma using a modified version of the Lung Cancer Symptom Scale (LCSS): Psychometric properties of the LCSS-Meso. Supportive Care in Cancer 14:11-21. (Pubitemid 43119592)
    • (2006) Supportive Care in Cancer , vol.14 , Issue.1 , pp. 11-21
    • Hollen, P.J.1    Gralla, R.J.2    Liepa, A.M.3    Symanowski, J.T.4    Rusthoven, J.J.5
  • 22
    • 0038402581 scopus 로고    scopus 로고
    • A joint model for nonlinear longitudinal data with informative dropout
    • DOI 10.1023/A:1023249510224
    • Hu, C., Sale, M. (2003). A joint model for nonlinear longitudinal data with informative dropout. Journal of Pharmacokinetics and Pharmacodynamics 30:83-103. (Pubitemid 36571070)
    • (2003) Journal of Pharmacokinetics and Pharmacodynamics , vol.30 , Issue.1 , pp. 83-103
    • Hu, C.1    Sale, M.E.2
  • 25
    • 77954944281 scopus 로고    scopus 로고
    • Basic concepts and methods for joint models of longitudinal and survival data
    • Ibrahim, J., Chu, H., Chen, L. (2010). Basic concepts and methods for joint models of longitudinal and survival data. Journal of Clinical Oncology 28:2796-2801.
    • (2010) Journal of Clinical Oncology , vol.28 , pp. 2796-2801
    • Ibrahim, J.1    Chu, H.2    Chen, L.3
  • 26
    • 43249105802 scopus 로고    scopus 로고
    • Phase III trial of pemetrexed plus best supportive care compared with best supportive care in previously treated patients with advanced malignant pleural mesothelioma
    • Jassem, J., Ramlau, R., Santoro, A., Schuette, W., Chemaissani, A., Hong, S., Blatter, J., Adachi, S., Hanauske, A., Manegold, C. (2008). Phase III trial of pemetrexed plus best supportive care compared with best supportive care in previously treated patients with advanced malignant pleural mesothelioma. Journal of Clinical Oncology 26:1698-1704.
    • (2008) Journal of Clinical Oncology , vol.26 , pp. 1698-1704
    • Jassem, J.1    Ramlau, R.2    Santoro, A.3    Schuette, W.4    Chemaissani, A.5    Hong, S.6    Blatter, J.7    Adachi, S.8    Hanauske, A.9    Manegold, C.10
  • 27
    • 37349096424 scopus 로고    scopus 로고
    • Quality of life and/or symptom control in randomized clinical trials for patients with advanced cancer
    • DOI 10.1093/annonc/mdm121
    • Joly, F., Vardy, J., Pintilie, M., Tannock, I. (2007). Quality of life and/or symptom control in randomized clinical trials for patients with advanced cancer. Annals of Oncology 18:1935-1942. (Pubitemid 350286228)
    • (2007) Annals of Oncology , vol.18 , Issue.12 , pp. 1935-1942
    • Joly, F.1    Vardy, J.2    Pintilie, M.3    Tannock, I.F.4
  • 29
    • 0037199763 scopus 로고    scopus 로고
    • Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables
    • Lin, H., McCulloch, C., Mayne, S. (2002). Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables. Statistics in Medicine 21:2369-2382.
    • (2002) Statistics in Medicine , vol.21 , pp. 2369-2382
    • Lin, H.1    McCulloch, C.2    Mayne, S.3
  • 30
    • 38949194927 scopus 로고    scopus 로고
    • WinBUGS Development Interface (WBDev)
    • Lunn, D. (2003). WinBUGS Development Interface (WBDev). ISBA Bulletin 10:10-11.
    • (2003) ISBA Bulletin , vol.10 , pp. 10-11
    • Lunn, D.1
  • 31
    • 0006407254 scopus 로고    scopus 로고
    • WinBUGS-A Bayesian modelling framework: Concepts, structure, and extensibility
    • Lunn, D., Thomas, A., Best, N., Spiegelhalter, D. (2000). WinBUGS-A Bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing 10:325-337.
    • (2000) Statistics and Computing , vol.10 , pp. 325-337
    • Lunn, D.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 32
    • 77149127058 scopus 로고    scopus 로고
    • Surrogate efficacy endpoints in oncology trials
    • Markman, M. (2009). Surrogate efficacy endpoints in oncology trials. Pharmaceutical Medicine 23:283-287.
    • (2009) Pharmaceutical Medicine , vol.23 , pp. 283-287
    • Markman, M.1
  • 34
    • 43749118704 scopus 로고    scopus 로고
    • A two-part joint model for the analysis of survival and longitudinal binary data with excess zeros
    • DOI 10.1111/j.1541-0420.2007.00894.x
    • Rizopoulos, D., Verbeke, G., Lesaffre, E., Vanrenterghem, Y. (2008). A two-part joint model for the analysis of survival and longitudinal binary data with excess zeros. Biometrics 64:611-619. (Pubitemid 351691918)
    • (2008) Biometrics , vol.64 , Issue.2 , pp. 611-619
    • Rizopoulos, D.1    Verbeke, G.2    Lesaffre, E.3    Vanrenterghem, Y.4
  • 36
  • 37
    • 24144440046 scopus 로고    scopus 로고
    • Joint modelling of accelerated failure time and longitudinal data
    • DOI 10.1093/biomet/92.3.587
    • Tseng, Y.-K., Hseih, F., Wang, J.-L. (2005). Joint modelling of accelerated failure time and longitudinal data. Biometrika 92:587-603. (Pubitemid 41241595)
    • (2005) Biometrika , vol.92 , Issue.3 , pp. 587-603
    • Tseng, Y.-K.1    Hsieh, P.2    Wang, J.-L.3
  • 38
    • 8644246036 scopus 로고    scopus 로고
    • Joint modeling of longitudinal and time-to-event data: An overview
    • Tsiatis, A., Davidian, M. (2004). Joint modeling of longitudinal and time-to-event data: An overview. Statistica Sinica 14:809-834. (Pubitemid 39499214)
    • (2004) Statistica Sinica , vol.14 , Issue.3 , pp. 809-834
    • Tsiatis, A.A.1    Davidian, M.2
  • 39
    • 21844506206 scopus 로고
    • Modeling the relationship of survival to longitudinal data measured with error: Applications to survival and CD4 counts in patients with AIDS
    • Tsiatis, A., DeGruttola, V., Wulfsohn, M. (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 90:27-37.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 27-37
    • Tsiatis, A.1    Degruttola, V.2    Wulfsohn, M.3
  • 40
    • 70449717243 scopus 로고    scopus 로고
    • Progression-free survival remains debatable endpoint in cancer trials
    • Tuma, R. (2009). Progression-free survival remains debatable endpoint in cancer trials. Journal of the National Cancer Institute 101:1439-1441.
    • (2009) Journal of the National Cancer Institute , vol.101 , pp. 1439-1441
    • Tuma, R.1
  • 41
    • 15544368884 scopus 로고    scopus 로고
    • DIC in variable selection
    • DOI 10.1111/j.1467-9574.2005.00278.x
    • van der Linde, A. (2005). DIC in variable selection. Statistica Neerlandica 59:45-56. (Pubitemid 40405925)
    • (2005) Statistica Neerlandica , vol.59 , Issue.1 , pp. 45-56
    • Van Der Linde, A.1
  • 44
    • 0442327792 scopus 로고    scopus 로고
    • Jointly modeling longitudinal and event time data with application to acquired immunodeficiency syndrome
    • Wang, Y., Taylor, J. (2001). Jointly modeling longitudinal and event time data with application to acquired immunodeficiency syndrome. Journal of the American Statistical Association 96:895-905.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 895-905
    • Wang, Y.1    Taylor, J.2
  • 45
    • 0030893266 scopus 로고    scopus 로고
    • A joint model for survival and longitudinal data measured with error
    • DOI 10.2307/2533118
    • Wulfsohn, M., Tsiatis, A. (1997). A joint model for survival and longitudinal data measured with error. Biometrics 53:330-339. (Pubitemid 27131905)
    • (1997) Biometrics , vol.53 , Issue.1 , pp. 330-339
    • Wulfsohn, M.S.1    Tsiatis, A.A.2
  • 46
    • 0035650134 scopus 로고    scopus 로고
    • Joint analysis of longitudinal data comprising repeated measures and times to events
    • Xu, J., Zeger, S. (2001a). Joint analysis of longitudinal data comprising repeated measures and times to events. Journal of the Royal Statistical Society Series C: Applied Statistics 50:375-387. (Pubitemid 33399970)
    • (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
  • 47
    • 0035106144 scopus 로고    scopus 로고
    • The evaluation of multiple surrogate endpoints
    • Xu, J., Zeger, S. (2001b). The evaluation of multiple surrogate endpoints. Biometrics 57:81-87. (Pubitemid 32200140)
    • (2001) Biometrics , vol.57 , Issue.1 , pp. 81-87
    • Xu, J.1    Zeger, S.L.2
  • 48
    • 0036000561 scopus 로고    scopus 로고
    • A zero-augmented gamma mixed model for longitudinal data with many zeros
    • Yau, K., Lee, A., Ng, A. (2002). A zero-augmented gamma mixed model for longitudinal data with many zeros. Australian and New Zealand Journal of Statistics 44:177-183.
    • (2002) Australian and New Zealand Journal of Statistics , vol.44 , pp. 177-183
    • Yau, K.1    Lee, A.2    Ng, A.3
  • 49
    • 8644269772 scopus 로고    scopus 로고
    • Joint longitudinal-survival-cure models and their application to prostate cancer
    • Yu, M., Law, N., Taylor, J., Sandler, H. (2004). Joint longitudinal-survival-cure models and their application to prostate cancer. Statistica Sinica 14:835-862. (Pubitemid 39499215)
    • (2004) Statistica Sinica , vol.14 , Issue.3 , pp. 835-862
    • Yu, M.1    Law, N.J.2    Taylor, J.M.G.3    Sandler, H.M.4
  • 50
    • 33748912882 scopus 로고    scopus 로고
    • Bayesian inference for a two-part hierarchical model: An application to profiling providers in managed health care
    • DOI 10.1198/016214505000001429
    • Zhang, M., Strawderman, R., Cowen, M., Wells, M. (2006). Bayesian inference for a two-part hierarchical model: An application to profiling providers in managed health care. Journal of the American Statistical Association 101:934-945. (Pubitemid 44424592)
    • (2006) Journal of the American Statistical Association , vol.101 , Issue.475 , pp. 934-945
    • Zhang, M.1    Strawderman, R.L.2    Cowen, M.E.3    Wells, M.T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.