메뉴 건너뛰기




Volumn 19, Issue 4, 2000, Pages 617-637

Statistical models for longitudinal biomarkers of disease onset

Author keywords

[No Author keywords available]

Indexed keywords

CD4 ANTIGEN; PROSTATE SPECIFIC ANTIGEN;

EID: 0034728376     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(20000229)19:4<617::AID-SIM360>3.0.CO;2-R     Document Type: Conference Paper
Times cited : (72)

References (63)
  • 1
    • 0343868197 scopus 로고
    • A bayesian approach to the analysis of serial tumour-marker data
    • Tate H. A Bayesian approach to the analysis of serial tumour-marker data. Statistician 1983; 32:116.
    • (1983) Statistician , vol.32 , pp. 116
    • Tate, H.1
  • 5
    • 0019543289 scopus 로고
    • Evaluating serial cancer marker studies in patients at risk of recurrent disease
    • Gail MH. Evaluating serial cancer marker studies in patients at risk of recurrent disease. Biometrics 1981; 37:927-936 (correction: 42, 229).
    • (1981) Biometrics , vol.37 , pp. 927-936
    • Gail, M.H.1
  • 6
    • 0030771191 scopus 로고    scopus 로고
    • Estimating proportion of treatment effect explained by a surrogate marker
    • Lin DY, Fleming TR, De Gruttola V. Estimating proportion of treatment effect explained by a surrogate marker. Statistics in Medicine 1997; 16:1515-1527.
    • (1997) Statistics in Medicine , vol.16 , pp. 1515-1527
    • Lin, D.Y.1    Fleming, T.R.2    De Gruttola, V.3
  • 8
    • 0000457417 scopus 로고
    • A framework for consistent prediction rules based on markers
    • Jewell NP, Nielsen JP. A framework for consistent prediction rules based on markers. Biometrika 1993; 80:153-164.
    • (1993) Biometrika , vol.80 , pp. 153-164
    • Jewell, N.P.1    Nielsen, J.P.2
  • 9
    • 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 AA, De Gruttola V, Wulfsohn M. 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 1995; 90:27-37.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 27-37
    • Tsiatis, A.A.1    Gruttola D. V2    Wulfsohn, M.3
  • 10
    • 0028627762 scopus 로고
    • Modelling progression of CD4-lymphocyte count and its relationship to survival time
    • De Gruttola V, Tu XM. Modelling progression of CD4-lymphocyte count and its relationship to survival time. Biometrics 1994; 50:1003-1014.
    • (1994) Biometrics , vol.50 , pp. 1003-1014
    • Gruttola D. V1    Tu, X.M.2
  • 11
    • 0023921412 scopus 로고
    • Estimation and comparison of changes in the presence of informative right censoring: Modeling the censoring process
    • Wu MC, Carroll RJ. Estimation and comparison of changes in the presence of informative right censoring: modeling the censoring process. Biometrics 1988; 44:175-188.
    • (1988) Biometrics , vol.44 , pp. 175-188
    • Wu, M.C.1    Carroll, R.J.2
  • 12
    • 0027092589 scopus 로고
    • Methods for the analysis of informatively censored longitudinal data
    • Schluchter MD. Methods for the analysis of informatively censored longitudinal data. Statistics in Medicine 1992; 11:1861-1870.
    • (1992) Statistics in Medicine , vol.11 , pp. 1861-1870
    • Schluchter, M.D.1
  • 13
    • 0031032359 scopus 로고    scopus 로고
    • Mixture models for the joint distribution of repeated measures and event times
    • Hogan JW, Laird NM. Mixture models for the joint distribution of repeated measures and event times. Statistics in Medicine 1997; 16:239-257.
    • (1997) Statistics in Medicine , vol.16 , pp. 239-257
    • Hogan, J.W.1    Laird, N.M.2
  • 14
    • 0031022645 scopus 로고    scopus 로고
    • Model-based approaches to analysing incomplete longitudinal and failure time data
    • Hogan JW, Laird NM. Model-based approaches to analysing incomplete longitudinal and failure time data. Statistics in Medicine 1997; 16:259-272.
    • (1997) Statistics in Medicine , vol.16 , pp. 259-272
    • Hogan, J.W.1    Laird, N.M.2
  • 16
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics 1982; 38:963-974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.M.1    Ware, J.H.2
  • 20
    • 0347472470 scopus 로고    scopus 로고
    • Adaptation of bivariate frailty models for prediction, with application to biological markers as prognostic indicators
    • Day R, Bryant J, Lefkopoulou M. Adaptation of bivariate frailty models for prediction, with application to biological markers as prognostic indicators. Biometrika 1997; 84:45-56.
    • (1997) Biometrika , vol.84 , pp. 45-56
    • Day, R.1    Bryant, J.2    Lefkopoulou, M.3
  • 21
    • 0021667317 scopus 로고
    • A biological marker model for predicting disease transitions
    • Klein JP, Klotz JH, Grever MR. A biological marker model for predicting disease transitions. Biometrics 1984; 40:927-936.
    • (1984) Biometrics , vol.40 , pp. 927-936
    • Klein, J.P.1    Klotz, J.H.2    Grever, M.R.3
  • 22
    • 0000030112 scopus 로고
    • Some test statistics for use in multistate survival analysis
    • Hsieh FY, Crowley J, Tormey DC. Some test statistics for use in multistate survival analysis. Biometrika 1983; 70:111-119.
    • (1983) Biometrika , vol.70 , pp. 111-119
    • Hsieh, F.Y.1    Crowley, J.2    Tormey, D.C.3
  • 23
    • 0018837732 scopus 로고
    • A time-dependent statistical model which relates current clinical states to prognosis: Application to advanced prostatic cancer
    • Myers LE, Paulson DF, Berry WR, Cox EB, Laszlo J, Stanley W. A time-dependent statistical model which relates current clinical states to prognosis: application to advanced prostatic cancer. Journal of Chronic Diseases 1980; 33:491-499.
    • (1980) Journal of Chronic Diseases , vol.33 , pp. 491-499
    • Myers, L.E.1    Paulson, D.F.2    Berry, W.R.3    Cox, E.B.4    Laszlo, J.5    Stanley, W.6
  • 24
    • 0022965472 scopus 로고
    • A markov model for analysing cancer markers and disease states in survival studies
    • Kay R. A Markov model for analysing cancer markers and disease states in survival studies. Biometrics 1986; 42:855-865.
    • (1986) Biometrics , vol.42 , pp. 855-865
    • Kay, R.1
  • 25
    • 0040455217 scopus 로고    scopus 로고
    • Markov chains with measurement error: Estimating the 'true' course of a marker of the preogression of human immunodeficiency virus disease (with discussion)
    • Satten GA, Longini IA. Markov chains with measurement error: estimating the 'true' course of a marker of the preogression of human immunodeficiency virus disease (with discussion). Applied Statistics 1996; 45:275-309.
    • (1996) Applied Statistics , vol.45 , pp. 275-309
    • Satten, G.A.1    Longini, I.A.2
  • 26
    • 0000102199 scopus 로고
    • A test for a change in a parameter occurring at an unknown point
    • Page ES. A test for a change in a parameter occurring at an unknown point. Biometrika 1955; 42:523-527.
    • (1955) Biometrika , vol.42 , pp. 523-527
    • Page, E.S.1
  • 27
    • 0000303758 scopus 로고
    • Inference about the intersection in two-phase regression
    • Hinkley DV. Inference about the intersection in two-phase regression. Biometrika 1969; 56:495-504.
    • (1969) Biometrika , vol.56 , pp. 495-504
    • Hinkley, D.V.1
  • 28
    • 77956887957 scopus 로고
    • Inference about the change-point in a sequence of random variables
    • Hinkley DV. Inference about the change-point in a sequence of random variables. Biometrika 1970; 57:1-17.
    • (1970) Biometrika , vol.57 , pp. 1-17
    • Hinkley, D.V.1
  • 29
    • 0016768340 scopus 로고
    • A bayesian approach to inference about a change-point in a sequence of random variables
    • Smith AFM. A Bayesian approach to inference about a change-point in a sequence of random variables. Biometrika 1975; 62:407-416.
    • (1975) Biometrika , vol.62 , pp. 407-416
    • Smith, A.F.M.1
  • 30
  • 31
    • 21344490449 scopus 로고
    • Bayesian retrospective multiple-changepoint identification
    • Stephens DA. Bayesian retrospective multiple-changepoint identification. Applied Statistics 1994; 43:159-178.
    • (1994) Applied Statistics , vol.43 , pp. 159-178
    • Stephens, D.A.1
  • 34
    • 0027226031 scopus 로고
    • Detection of organ-confined prostate cancer is increased through prostate-specific antigen-based screening
    • Catalona WJ, Smith DS, Ratliff TL, Basler JW. Detection of organ-confined prostate cancer is increased through prostate-specific antigen-based screening. Journal of the American Medical Association 1993; 270(8): 948-954.
    • (1993) Journal of the American Medical Association , vol.270 , Issue.8 , pp. 948-954
    • Catalona, W.J.1    Smith, D.S.2    Ratliff, T.L.3    Basler, J.W.4
  • 41
    • 0029805909 scopus 로고    scopus 로고
    • Prostate-specific antigen following prostate radiotherapy: How low can you go?
    • McLaughlin PW, Sandier HM, Jiroutek MR. Prostate-specific antigen following prostate radiotherapy: how low can you go? Journal of Clinical Oncology 1996; 14(11):2889-2892.
    • (1996) Journal of Clinical Oncology , vol.14 , Issue.11 , pp. 2889-2892
    • McLaughlin, P.W.1    Sandier, H.M.2    Jiroutek, M.R.3
  • 42
    • 0001585923 scopus 로고    scopus 로고
    • Changepoint modeling of longitudinal psa as a biomarker for prostate cancer
    • Gatsonis C, Hodges JS, Kass RE, McCulloch R, Rossi P. Singpurwalla ND (eds). Springer-Verlag: New York
    • Slate EH, Cronin KA. Changepoint modeling of longitudinal PSA as a biomarker for prostate cancer. In Case Studies in Bayesian Statistics III, Gatsonis C, Hodges JS, Kass RE, McCulloch R, Rossi P. Singpurwalla ND (eds). Springer-Verlag: New York, 1997; 444-456.
    • (1997) Case Studies in Bayesian Statistics , vol.3 , pp. 444-456
    • Slate, E.H.1    Cronin, K.A.2
  • 43
    • 84950419603 scopus 로고
    • Newton-Raphson and EM algorithm for linear mixed-effects models for repeated-measures data
    • Lindstrom MJ, Bates DM. Newton-Raphson and EM algorithm for linear mixed-effects models for repeated-measures data. Journal of the American Statistical Association 1988; 83:1014-1022.
    • (1988) Journal of the American Statistical Association , vol.83 , pp. 1014-1022
    • Lindstrom, M.J.1    Bates, D.M.2
  • 44
    • 0025170004 scopus 로고
    • Nonlinear mixed effects models for repeated measures data
    • Lindstrom MJ, Bates DM. Nonlinear mixed effects models for repeated measures data. Biometrics 1990; 46:673-687.
    • (1990) Biometrics , vol.46 , pp. 673-687
    • Lindstrom, M.J.1    Bates, D.M.2
  • 47
    • 84950459427 scopus 로고
    • Hierarchical bayes models for the progression of HIV infection using longitudinal CD4 T-cell numbers (with discussion)
    • Lange N, Carlin BP, Gelfand AE. Hierarchical Bayes models for the progression of HIV infection using longitudinal CD4 T-cell numbers (with discussion). Journal of the American Statistical Association 1992; 87:615-632.
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 615-632
    • Lange, N.1    Carlin, B.P.2    Gelfand, A.E.3
  • 48
    • 0343432457 scopus 로고
    • Using the gtbbs sampler to detect changepoints: Application to PSA as a longitudinal marker for prostate cancer
    • Cronin KA, Slate EH, Turnbull BW, Wells MT. Using the Gtbbs sampler to detect changepoints: application to PSA as a longitudinal marker for prostate cancer. Computing Science and Statistics 1994; 26:314-318.
    • (1994) Computing Science and Statistics , vol.26 , pp. 314-318
    • Cronin, K.A.1    Slate, E.H.2    Turnbull, B.W.3    Wells, M.T.4
  • 49
    • 0000913638 scopus 로고    scopus 로고
    • Using PSA to detect prostate cancer onset: An application of bayesian retrospective and prospective changepoint identification
    • Slate EH, Clark LC. Using PSA to detect prostate cancer onset: an application of Bayesian retrospective and prospective changepoint identification. Case Studies in Bayesian Statistics IV 1998; 511-534.
    • (1998) Case Studies in Bayesian Statistics Iv , vol.4 , pp. 511-534
    • Slate, E.H.1    Clark, L.C.2
  • 53
    • 0343432456 scopus 로고
    • Detection of changepoints in longitudinal data
    • Cornell University
    • Cronin KA. Detection of changepoints in longitudinal data. PhD Dissertation, Cornell University, 1995.
    • (1995) PhD Dissertation
    • Cronin, K.A.1
  • 54
    • 0032583152 scopus 로고    scopus 로고
    • Analysis of repeated markers used to predict progression of cancer
    • Emir B, Wieand S, Su JQ, Cha S, Analysis of repeated markers used to predict progression of cancer, Statistics in Medicine 1998; 17:2563-2578.
    • (1998) Statistics in Medicine , vol.17 , pp. 2563-2578
    • Emir, B.1    Wieand, S.2    Su, J.Q.3    Cha, S.4
  • 55
    • 0029586865 scopus 로고
    • ROC curves with multiple marker measurements
    • Murtaugh PA. ROC curves with multiple marker measurements. Biometrics 1995; 51:1514-1522.
    • (1995) Biometrics , vol.51 , pp. 1514-1522
    • Murtaugh, P.A.1
  • 56
    • 0343868192 scopus 로고    scopus 로고
    • Fitting latent changepoint models for serial biomarkers using the EM algorithm
    • Gulyas SW, Slate EH, Turnbull BW. Fitting latent changepoint models for serial biomarkers using the EM algorithm. Computing Science and Statistics 1997; 29:253-258.
    • (1997) Computing Science and Statistics , vol.29 , pp. 253-258
    • Gulyas, S.W.1    Slate, E.H.2    Turnbull, B.W.3
  • 63
    • 0342562599 scopus 로고    scopus 로고
    • Latent disease changepoint models for longitudinal biomarkers
    • Cornell University
    • Gulyas SW. Latent disease changepoint models for longitudinal biomarkers. PhD Dissertation, Cornell University, 1998.
    • (1998) PhD Dissertation
    • Gulyas, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.