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Volumn 42, Issue 6, 2015, Pages 1223-1239

Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

Author keywords

joint models; linear mixed models; prostate cancer screening; relative risk models; shared parameter models

Indexed keywords


EID: 84924912671     PISSN: 02664763     EISSN: 13600532     Source Type: Journal    
DOI: 10.1080/02664763.2014.999032     Document Type: Article
Times cited : (14)

References (47)
  • 2
    • 4043150795 scopus 로고    scopus 로고
    • The interplay of Bayesian and Frequentist analysis
    • M.J. Bayarri and J.O. Berger, The interplay of Bayesian and Frequentist analysis, Statist. Sci. 19 (2004), pp. 58–80. doi: 10.1214/088342304000000116
    • (2004) Statist. Sci. , vol.19 , pp. 58-80
    • Bayarri, M.J.1    Berger, J.O.2
  • 5
    • 84921386393 scopus 로고
    • Reconciling Bayesian and Frequentist evidence in the one-sided testing problem
    • G. Casella and R.L. Berger, Reconciling Bayesian and Frequentist evidence in the one-sided testing problem, J. American Statist. Assoc. 82 (1987), pp. 106–111. doi: 10.1080/01621459.1987.10478396
    • (1987) J. American Statist. Assoc. , vol.82 , pp. 106-111
    • Casella, G.1    Berger, R.L.2
  • 6
    • 84924897049 scopus 로고    scopus 로고
    • stjm: Stata module to fit shared parameter joint models of longitudinal and survival data, 2012
    • M.J. Crowther, stjm: Stata module to fit shared parameter joint models of longitudinal and survival data, 2012. http://ideas.repec.org/c/boc/bocode/s457342.html.
    • Crowther, M.J.1
  • 8
    • 0029763749 scopus 로고    scopus 로고
    • Simultaneously modelling censored survival data and repeatedly measured covariates: A Gibbs sampling approach
    • C.L. Faucett and D.C. Thomas, Simultaneously modelling censored survival data and repeatedly measured covariates: A Gibbs sampling approach, Stat. Med. 15 (1996), pp. 1663–1685. doi: 10.1002/(SICI)1097-0258(19960815)15:15<1663::AID-SIM294>3.0.CO;2-1
    • (1996) Stat. Med. , vol.15 , pp. 1663-1685
    • Faucett, C.L.1    Thomas, D.C.2
  • 10
    • 0000710136 scopus 로고    scopus 로고
    • Joint modelling of longitudinal measurements and event time data
    • R. Henderson, P. Diggle, and A. Dobson, Joint modelling of longitudinal measurements and event time data, Biostatistics 1 (2000), pp. 465–480. doi: 10.1093/biostatistics/1.4.465
    • (2000) Biostatistics , vol.1 , pp. 465-480
    • Henderson, R.1    Diggle, P.2    Dobson, A.3
  • 11
    • 70349637766 scopus 로고    scopus 로고
    • Prostate specific antigen for early detection of prostate cancer: Longitudinal study
    • B. Holmstrom, M. Johansson, A. Bergh, U.-H. Stenman, G. Hallmans, and P. Stattin, Prostate specific antigen for early detection of prostate cancer: Longitudinal study, BMJ 339 (2009), pp. b3537. doi: 10.1136/bmj.b3537
    • (2009) BMJ , vol.339 , pp. 3537
    • Holmstrom, B.1    Johansson, M.2    Bergh, A.3    Stenman, U.-H.4    Hallmans, G.5    Stattin, P.6
  • 13
    • 84863725759 scopus 로고    scopus 로고
    • An examination of the dynamic changes in prostate-specific antigen occurring in a population-based cohort of men over time
    • B.A. Inman, J. Zhang, N.D. Shah, and B.T. Denton, An examination of the dynamic changes in prostate-specific antigen occurring in a population-based cohort of men over time, BJU Int. 110 (2012), pp. 375–381. doi: 10.1111/j.1464-410X.2011.10925.x
    • (2012) BJU Int. , vol.110 , pp. 375-381
    • Inman, B.A.1    Zhang, J.2    Shah, N.D.3    Denton, B.T.4
  • 15
    • 42349097208 scopus 로고    scopus 로고
    • Modeling disease progression with longitudinal markers
    • L.Y.T Inoue, R. Etzioni, C. Morrell, and P. Müller, Modeling disease progression with longitudinal markers, J. Am. Statist. Assoc. 103 (2008), pp. 259–270. doi: 10.1198/016214507000000356
    • (2008) J. Am. Statist. Assoc. , vol.103 , pp. 259-270
    • Inoue, L.Y.T.1    Etzioni, R.2    Morrell, C.3    Müller, P.4
  • 16
    • 82955235039 scopus 로고    scopus 로고
    • Statistical inference: The big picture
    • R.E. Kass, Statistical inference: The big picture, Statist. Sci. 26 (2011), pp. 1–9. doi: 10.1214/10-STS337
    • (2011) Statist. Sci. , vol.26 , pp. 1-9
    • Kass, R.E.1
  • 17
    • 0042485002 scopus 로고    scopus 로고
    • The joint modeling of a longitudinal disease progression marker and the failure time process in the presence of cure
    • N.J. Law, J.M.G. Taylor, and H. Sandler, The joint modeling of a longitudinal disease progression marker and the failure time process in the presence of cure, Biostatistics 3 (2002), pp. 547–563. doi: 10.1093/biostatistics/3.4.547
    • (2002) Biostatistics , vol.3 , pp. 547-563
    • Law, N.J.1    Taylor, J.M.G.2    Sandler, H.3
  • 18
    • 34249822549 scopus 로고    scopus 로고
    • Data cloning: Easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods
    • S.R. Lele, B. Dennis, and F. Lutscher, Data cloning: Easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods, Ecol. Lett. 10 (2007), pp. 551–563. doi: 10.1111/j.1461-0248.2007.01047.x
    • (2007) Ecol. Lett. , vol.10 , pp. 551-563
    • Lele, S.R.1    Dennis, B.2    Lutscher, F.3
  • 19
    • 0036489045 scopus 로고    scopus 로고
    • Latent class models for joint analysis of longitudinal biomarker and event process data: Application to longitudinal prostate-specific antigen readings and prostate cancer
    • H. Lin, B.W. Turnbull, C.E. McCulloch, and E.H. Slate, Latent class models for joint analysis of longitudinal biomarker and event process data: Application to longitudinal prostate-specific antigen readings and prostate cancer, J. Am. Statist. Assoc. 97 (2002), pp. 53–65. doi: 10.1198/016214502753479220
    • (2002) J. Am. Statist. Assoc. , vol.97 , pp. 53-65
    • Lin, H.1    Turnbull, B.W.2    McCulloch, C.E.3    Slate, E.H.4
  • 20
    • 33747474436 scopus 로고    scopus 로고
    • Calibrated Bayes: A Bayes/frequentist roadmap
    • R.J. Little, Calibrated Bayes: A Bayes/frequentist roadmap, Am. Statist. 60 (2006), pp. 213–223. doi: 10.1198/000313006X117837
    • (2006) Am. Statist. , vol.60 , pp. 213-223
    • Little, R.J.1
  • 21
    • 84863517227 scopus 로고    scopus 로고
    • Mortality due to prostate cancer in the spanish arm of the european randomized study of screening for prostate cancer (ERSPC). Results after a 15-year follow-up
    • M. Lujan, A. Paez, A. Berenguer, and J.A. Rodriguez, Mortality due to prostate cancer in the spanish arm of the european randomized study of screening for prostate cancer (ERSPC). Results after a 15-year follow-up, Actas Urológicas Españolas 36 (2012), pp. 403–409.
    • (2012) Actas Urológicas Españolas , vol.36 , pp. 403-409
    • Lujan, M.1    Paez, A.2    Berenguer, A.3    Rodriguez, J.A.4
  • 22
    • 0006407254 scopus 로고    scopus 로고
    • WinBUGS – A Bayesian modelling framework: Concepts, structure, and extensibility
    • D.J. Lunn, A. Thomas, N. Best, and D. Spiegelhalter, WinBUGS – A Bayesian modelling framework: Concepts, structure, and extensibility, Stat. Comput. 10 (2000), pp. 325–337. doi: 10.1023/A:1008929526011
    • (2000) Stat. Comput. , vol.10 , pp. 325-337
    • Lunn, D.J.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 23
    • 84859772296 scopus 로고    scopus 로고
    • Screening for prostate cancer using multivariate mixed-effects models
    • C.H. Morrell, L.J. Brant, S. Sheng, and E.J. Metter, Screening for prostate cancer using multivariate mixed-effects models, J. Appl. Stat. 39 (2012), pp. 1151–1175. doi: 10.1080/02664763.2011.644523
    • (2012) J. Appl. Stat. , vol.39 , pp. 1151-1175
    • Morrell, C.H.1    Brant, L.J.2    Sheng, S.3    Metter, E.J.4
  • 24
    • 85008794156 scopus 로고    scopus 로고
    • A review on joint models in biometrical research
    • A. Neuhaus, T. Augustin, C. Heumann, and D. Daumer, A review on joint models in biometrical research, J. Statist. Theory Pract. 3 (2009), pp. 855–868. doi: 10.1080/15598608.2009.10411965
    • (2009) J. Statist. Theory Pract. , vol.3 , pp. 855-868
    • Neuhaus, A.1    Augustin, T.2    Heumann, C.3    Daumer, D.4
  • 25
    • 84924897048 scopus 로고    scopus 로고
    • Joiner: Joint modelling of repeated measurements and time-to-event data, 2012
    • P. Philipson, I. Sousa, P. Diggle, P. Williamson, R. Kolamunnage-Dona, and R. Henderson, Joiner: Joint modelling of repeated measurements and time-to-event data, 2012. Available at http://www.people.fas.harvard.edu/~sfinch/csolve/ou.pdf.
    • Philipson, P.1    Sousa, I.2    Diggle, P.3    Williamson, P.4    Kolamunnage-Dona, R.5    Henderson, R.6
  • 26
    • 84946045727 scopus 로고
    • Approximations to the log-likelihood function in the nonlinear mixed-effects model
    • J.C. Pinheiro and D.M. Bates, Approximations to the log-likelihood function in the nonlinear mixed-effects model, J. Comput. Graph. Stat. 4 (1995), pp. 12–35.
    • (1995) J. Comput. Graph. Stat. , vol.4 , pp. 12-35
    • Pinheiro, J.C.1    Bates, D.M.2
  • 27
    • 84924897047 scopus 로고    scopus 로고
    • JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling, 3rd International Workshop on Distributed Statistical Computing (DSC 2003), 2003
    • M. Plummer, JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling, 3rd International Workshop on Distributed Statistical Computing (DSC 2003), 2003.
    • Plummer, M.1
  • 28
    • 77749317069 scopus 로고
    • Covariate measurement errors and parameter estimation in a failure time regression model
    • R.L. Prentice, Covariate measurement errors and parameter estimation in a failure time regression model, Biometrika 69 (1982), pp. 331–342. doi: 10.1093/biomet/69.2.331
    • (1982) Biometrika , vol.69 , pp. 331-342
    • Prentice, R.L.1
  • 29
    • 70149108170 scopus 로고    scopus 로고
    • Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: A joint modeling approach
    • C. Proust-Lima and J.M.G. Taylor, Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: A joint modeling approach, Biostatistics 10 (2009), pp. 535–549. doi: 10.1093/biostatistics/kxp009
    • (2009) Biostatistics , vol.10 , pp. 535-549
    • Proust-Lima, C.1    Taylor, J.M.G.2
  • 30
    • 84892600752 scopus 로고    scopus 로고
    • Joint latent class models for longitudinal and time-to-event data: A review
    • C. Proust-Lima, M. Séne, J.M. Taylor, and H. Jacqmin-Gadda, Joint latent class models for longitudinal and time-to-event data: A review, Stat Methods Med Res 23 (2014), pp. 74–90. doi: 10.1177/0962280212445839
    • (2014) Stat Methods Med Res , vol.23 , pp. 74-90
    • Proust-Lima, C.1    Séne, M.2    Taylor, J.M.3    Jacqmin-Gadda, H.4
  • 31
    • 77955157844 scopus 로고    scopus 로고
    • JM: An R package for the joint modelling of longitudinal and time-to-event data
    • D. Rizopoulos, JM: An R package for the joint modelling of longitudinal and time-to-event data, J. Statist. Softw. 35 (2010), pp. 1–33. Available at http://www.jstatsoft.org/v35/i09/.
    • (2010) J. Statist. Softw. , vol.35 , pp. 1-33
    • Rizopoulos, D.1
  • 32
    • 80052787679 scopus 로고    scopus 로고
    • Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data
    • D. Rizopoulos, Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data, Biometrics 67 (2011), pp. 819–829. doi: 10.1111/j.1541-0420.2010.01546.x
    • (2011) Biometrics , vol.67 , pp. 819-829
    • Rizopoulos, D.1
  • 33
    • 80455176985 scopus 로고    scopus 로고
    • Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule
    • D. Rizopoulos, Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule, Comput. Stat. Data Anal. 56 (2012), pp. 491–501. doi: 10.1016/j.csda.2011.09.007
    • (2012) Comput. Stat. Data Anal. , vol.56 , pp. 491-501
    • Rizopoulos, D.1
  • 35
    • 84924897046 scopus 로고    scopus 로고
    • JMbayes: Shared parameter models for the joint modeling of longitudinal and time-to-event data using JAGS, WinBUGS, or OpenBUGS. R package 0.4-1
    • D. Rizopoulos, JMbayes: Shared parameter models for the joint modeling of longitudinal and time-to-event data using JAGS, WinBUGS, or OpenBUGS. R package 0.4-1, 2013. Available at http://cran.r-project.org/package=JMbayes/.
    • Rizopoulos, D.1
  • 36
    • 79955847737 scopus 로고    scopus 로고
    • A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event
    • D. Rizopoulos and P. Ghosh, A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event, Stat. Med. 30 (2011), pp. 1366–1380. doi: 10.1002/sim.4205
    • (2011) Stat. Med. , vol.30 , pp. 1366-1380
    • Rizopoulos, D.1    Ghosh, P.2
  • 37
    • 84856380113 scopus 로고    scopus 로고
    • Prediction of prostate cancer risk: The role of prostate volume and digital rectal examination in the ERSPC risk calculators
    • M.J. Roobol, H.A. van Vugt, S. Loeb, X. Zhu, M. Bul, Chris H. Bangma, Arno G.L.J.H. van Leenders, E.W. Steyerberg, and F.H. Schröder, Prediction of prostate cancer risk: The role of prostate volume and digital rectal examination in the ERSPC risk calculators, Eur. Urology 61 (2012), pp. 577–583. doi: 10.1016/j.eururo.2011.11.012
    • (2012) Eur. Urology , vol.61 , pp. 577-583
    • Roobol, M.J.1    van Vugt, H.A.2    Loeb, S.3    Zhu, X.4    Bul, M.5    Bangma, C.H.6    van Leenders, A.G.L.J.H.7    Steyerberg, E.W.8    Schröder, F.H.9
  • 38
    • 45849109563 scopus 로고    scopus 로고
    • The comparability of models for predicting the risk of a positive prostate biopsy with prostate-specific antigen alone: A systematic review
    • F. Schröder and M.W. Kattan, The comparability of models for predicting the risk of a positive prostate biopsy with prostate-specific antigen alone: A systematic review, Eur. Urology 54 (2008), pp. 274–290. doi: 10.1016/j.eururo.2008.05.022
    • (2008) Eur. Urology , vol.54 , pp. 274-290
    • Schröder, F.1    Kattan, M.W.2
  • 42
    • 8644246036 scopus 로고    scopus 로고
    • Joint modeling of longitudinal and time-to-event data: An overview
    • A.A. Tsiatis and M. Davidian, Joint modeling of longitudinal and time-to-event data: An overview, Statist. Sin. 14 (2004), pp. 809–834.
    • (2004) Statist. Sin. , vol.14 , pp. 809-834
    • Tsiatis, A.A.1    Davidian, M.2
  • 43
    • 21844506206 scopus 로고
    • Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS
    • A.A. Tsiatis, V. Degruttola, and M.S. Wulfsohn, Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS, J. Am. Statist. Assoc. 90 (1995), pp. 27–37. doi: 10.1080/01621459.1995.10476485
    • (1995) J. Am. Statist. Assoc. , vol.90 , pp. 27-37
    • Tsiatis, A.A.1    Degruttola, V.2    Wulfsohn, M.S.3
  • 44
    • 80655144776 scopus 로고    scopus 로고
    • Re: An empirical evaluation of guidelines on prostate-specific antigen velocity in prostate cancer detection
    • A.J. Vickers, Re: An empirical evaluation of guidelines on prostate-specific antigen velocity in prostate cancer detection, J. Nat. Cancer Inst. 103 (2011), pp. 1635–1636. doi: 10.1093/jnci/djr353
    • (2011) J. Nat. Cancer Inst. , vol.103 , pp. 1635-1636
    • Vickers, A.J.1
  • 45
    • 35348823195 scopus 로고    scopus 로고
    • The predictive value of prostate cancer biomarkers depends on age and time to diagnosis: Towards a biologically-based screening strategy
    • A.J. Vickers, D. Ulmert, A.M. Serio, T. Bjork, Peter T. Scardino, James A. Eastham, G. Berglund, and H. Lilja, The predictive value of prostate cancer biomarkers depends on age and time to diagnosis: Towards a biologically-based screening strategy, Int. J. Cancer 121 (2007), pp. 2212–2217. doi: 10.1002/ijc.22956
    • (2007) Int. J. Cancer , vol.121 , pp. 2212-2217
    • Vickers, A.J.1    Ulmert, D.2    Serio, A.M.3    Bjork, T.4    Scardino, P.T.5    Eastham, J.A.6    Berglund, G.7    Lilja, H.8
  • 46
    • 0030893266 scopus 로고    scopus 로고
    • A joint model for survival and longitudinal data measured with error
    • M.S. Wulfsohn and A.A. Tsiatis, A joint model for survival and longitudinal data measured with error, Biometrics 53 (1997), pp. 330–339. doi: 10.2307/2533118
    • (1997) Biometrics , vol.53 , pp. 330-339
    • Wulfsohn, M.S.1    Tsiatis, A.A.2
  • 47
    • 8644269772 scopus 로고    scopus 로고
    • Joint longitudinal-survival-cure models and their application to prostate cancer
    • M. Yu, N. Law, J. Taylor, and H. Sandler, Joint longitudinal-survival-cure models and their application to prostate cancer, Statist. Sin. 14 (2004), pp. 835–862.
    • (2004) Statist. Sin. , vol.14 , pp. 835-862
    • Yu, M.1    Law, N.2    Taylor, J.3    Sandler, H.4


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