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Volumn 33, Issue 26, 2014, Pages 4532-4546

Model selection and diagnostics for joint modeling of survival and longitudinal data with crossing hazard rate functions

Author keywords

Crossing hazard rates; Joint model; Longitudinal data; Model diagnostics; Model selection; Survival data

Indexed keywords

CYCLOPHOSPHAMIDE; EPIRUBICIN; FLUOROURACIL; METHOTREXATE; ANTINEOPLASTIC AGENT; CISPLATIN; CYTARABINE;

EID: 84907898274     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6259     Document Type: Article
Times cited : (18)

References (39)
  • 4
    • 0024516906 scopus 로고
    • Score test for homogeneity of regression effect in the proportional hazards model
    • O'Quigley J, Pessione F. Score test for homogeneity of regression effect in the proportional hazards model. Biometrics 1989; 45:135-144.
    • (1989) Biometrics , vol.45 , pp. 135-144
    • O'Quigley, J.1    Pessione, F.2
  • 5
    • 0025774226 scopus 로고
    • The problem of a covariate-time qualitative interaction in a survival study
    • O'Quigley J, Pessione F. The problem of a covariate-time qualitative interaction in a survival study. Biometrics 1991; 47:101-115.
    • (1991) Biometrics , vol.47 , pp. 101-115
    • O'Quigley, J.1    Pessione, F.2
  • 6
    • 19644400975 scopus 로고    scopus 로고
    • A new testing approach for comparing the overall homogeneity of survival curves
    • Lin X, Wang H. A new testing approach for comparing the overall homogeneity of survival curves. Biometrical Journal 2004; 46:489-496.
    • (2004) Biometrical Journal , vol.46 , pp. 489-496
    • Lin, X.1    Wang, H.2
  • 7
    • 33846205573 scopus 로고    scopus 로고
    • Comparing two crossing hazard rates by Cox proportional hazards modelling
    • Liu K, Qiu P, Sheng J. Comparing two crossing hazard rates by Cox proportional hazards modelling. Statistics in Medicine 2007; 26:375-391.
    • (2007) Statistics in Medicine , vol.26 , pp. 375-391
    • Liu, K.1    Qiu, P.2    Sheng, J.3
  • 9
    • 0030893266 scopus 로고    scopus 로고
    • 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; 53:330-339.
    • (1997) Biometrics , vol.53 , pp. 330-339
    • Wulfsohn, M.S.1    Tsiatis, A.A.2
  • 10
    • 8644246036 scopus 로고    scopus 로고
    • 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
    • 26844508276 scopus 로고
    • On a two-sided test for crossing hazard rates
    • O'Quigley J. On a two-sided test for crossing hazard rates. The Statistician 1994; 43:563-569.
    • (1994) The Statistician , vol.43 , pp. 563-569
    • O'Quigley, J.1
  • 12
    • 0000656617 scopus 로고
    • Modified Kolmogorov-Smirnov test procedures with application to arbitrarily right-censored data
    • Fleming TR, O'Fallon JR, O'Brien PC, Harrington DP. Modified Kolmogorov-Smirnov test procedures with application to arbitrarily right-censored data. Biometrics 1980; 36:607-625.
    • (1980) Biometrics , vol.36 , pp. 607-625
    • Fleming, T.R.1    O'Fallon, J.R.2    O'Brien, P.C.3    Harrington, D.P.4
  • 13
    • 0011322872 scopus 로고
    • The crossing hazard function problem
    • Mantel N, Stablein DM. The crossing hazard function problem. The Statistician 1988; 37:59-64.
    • (1988) The Statistician , vol.37 , pp. 59-64
    • Mantel, N.1    Stablein, D.M.2
  • 14
    • 0000184944 scopus 로고
    • Weighted log rank statistics for comparing two distributions
    • Moreau T, Maccario J, Lellouch J, Huber C. Weighted log rank statistics for comparing two distributions. Biometrika 1992; 79:195-198.
    • (1992) Biometrika , vol.79 , pp. 195-198
    • Moreau, T.1    Maccario, J.2    Lellouch, J.3    Huber, C.4
  • 15
    • 0002652128 scopus 로고
    • A two-step regression model for hazard functions
    • Anderson JA, Senthilselvan A. A two-step regression model for hazard functions. Applied Statistics 1982; 31:44-51.
    • (1982) Applied Statistics , vol.31 , pp. 44-51
    • Anderson, J.A.1    Senthilselvan, A.2
  • 16
    • 0021640058 scopus 로고
    • A two-sample censored-data rank test for acceleration
    • Breslow NE, Edler L, Berger J. A two-sample censored-data rank test for acceleration. Biometrics 1984; 40:1049-1062.
    • (1984) Biometrics , vol.40 , pp. 1049-1062
    • Breslow, N.E.1    Edler, L.2    Berger, J.3
  • 17
    • 70149105026 scopus 로고    scopus 로고
    • Crossing hazard functions in common survival models
    • Zhang JJ, Peng YW. Crossing hazard functions in common survival models. Statistics and Probability Letters 2009; 79:2124-2130.
    • (2009) Statistics and Probability Letters , vol.79 , pp. 2124-2130
    • Zhang, J.J.1    Peng, Y.W.2
  • 18
    • 70450231691 scopus 로고    scopus 로고
    • Confidence intervals for the first crossing point of two hazard functions
    • Cheng MY, Qiu P, Tan X, Tu D. Confidence intervals for the first crossing point of two hazard functions. Lifetime Data Analysis 2009; 15:441-454.
    • (2009) Lifetime Data Analysis , vol.15 , pp. 441-454
    • Cheng, M.Y.1    Qiu, P.2    Tan, X.3    Tu, D.4
  • 19
    • 77955395452 scopus 로고    scopus 로고
    • A flexible approach to the crossing hazards problem
    • Muggeo VMR, Tagliavia M. A flexible approach to the crossing hazards problem. Statistics in Medicine 2010; 29:1947-1957.
    • (2010) Statistics in Medicine , vol.29 , pp. 1947-1957
    • Muggeo, V.M.R.1    Tagliavia, M.2
  • 20
    • 30344479173 scopus 로고    scopus 로고
    • Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time
    • Zeng D, Cai J. Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time. The Annals of Statistics 2005; 33:2123-2163.
    • (2005) The Annals of Statistics , vol.33 , pp. 2123-2163
    • Zeng, D.1    Cai, J.2
  • 21
    • 33746227428 scopus 로고    scopus 로고
    • Asymptotic theory for the Cox model with missing time-dependent covariate
    • Duphy J, Grama I, Mesbah M. Asymptotic theory for the Cox model with missing time-dependent covariate. The Annals of Statistics 2006; 34:903-924.
    • (2006) The Annals of Statistics , vol.34 , pp. 903-924
    • Duphy, J.1    Grama, I.2    Mesbah, M.3
  • 22
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control 1974; 19:716-723.
    • (1974) IEEE Transactions on Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 23
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • Hurvich CM, Tsai C. Regression and time series model selection in small samples. Biometrika 1989; 76:297-307.
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.2
  • 24
    • 0642336882 scopus 로고    scopus 로고
    • An asymptotic theory for linear model selection (with discussions)
    • Shao J. An asymptotic theory for linear model selection (with discussions). Statistica Sinica 1997; 7:221-242.
    • (1997) Statistica Sinica , vol.7 , pp. 221-242
    • Shao, J.1
  • 25
    • 27944460480 scopus 로고    scopus 로고
    • Can the strengths of AIC and BIC be shared?
    • Yang Y. Can the strengths of AIC and BIC be shared?Biometrika 2005; 92:937-950.
    • (2005) Biometrika , vol.92 , pp. 937-950
    • Yang, Y.1
  • 26
    • 0034059779 scopus 로고    scopus 로고
    • Bayesian information criterion for censored survival models
    • Volinsky CT, Raftery AE. Bayesian information criterion for censored survival models. Biometrics 2000; 56:256-262.
    • (2000) Biometrics , vol.56 , pp. 256-262
    • Volinsky, C.T.1    Raftery, A.E.2
  • 28
    • 0027185065 scopus 로고
    • Further results on the non-parametric linear regression model in survival analysis
    • Aalen OO. Further results on the non-parametric linear regression model in survival analysis. Statistics in Medicine 1993; 12:1569-1588.
    • (1993) Statistics in Medicine , vol.12 , pp. 1569-1588
    • Aalen, O.O.1
  • 30
    • 0001241618 scopus 로고
    • Goodness of fit tests in models for life history data based on cumulative hazard rates
    • Hjort NL. Goodness of fit tests in models for life history data based on cumulative hazard rates. Annals of Statistics 1990; 18:1221-1258.
    • (1990) Annals of Statistics , vol.18 , pp. 1221-1258
    • Hjort, N.L.1
  • 31
    • 77957888445 scopus 로고
    • Checking the Cox model with cumulative sums of martingale-based residuals
    • Lin DY, Wei LJ, Ying Z. Checking the Cox model with cumulative sums of martingale-based residuals. Biometrika 1993; 80:557-572.
    • (1993) Biometrika , vol.80 , pp. 557-572
    • Lin, D.Y.1    Wei, L.J.2    Ying, Z.3
  • 32
    • 0018822038 scopus 로고
    • Chi-squared goodness-of-fit tests for the proportional hazards regression model
    • Schoenfeld D. Chi-squared goodness-of-fit tests for the proportional hazards regression model. Biometrika 1980; 67:145-153.
    • (1980) Biometrika , vol.67 , pp. 145-153
    • Schoenfeld, D.1
  • 33
    • 0642279547 scopus 로고    scopus 로고
    • A method for checking regression models in survival analysis based on the risk score
    • Grønnesby JK, Borgan Ø. A method for checking regression models in survival analysis based on the risk score. Lifetime Data Analysis 1996; 2:315-328.
    • (1996) Lifetime Data Analysis , vol.2 , pp. 315-328
    • Grønnesby, J.K.1    Borgan, Ø.2
  • 34
    • 0031605154 scopus 로고    scopus 로고
    • A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model
    • May S, Hosmer DW. A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model. Lifetime Data Analysis 1998; 4:109-120.
    • (1998) Lifetime Data Analysis , vol.4 , pp. 109-120
    • May, S.1    Hosmer, D.W.2
  • 36
    • 77949750057 scopus 로고    scopus 로고
    • Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes
    • Rizopoulos D, Verbeke G, Molenberghs G. Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes. Biometrics 2010; 66:20-29.
    • (2010) Biometrics , vol.66 , pp. 20-29
    • Rizopoulos, D.1    Verbeke, G.2    Molenberghs, G.3
  • 37
    • 15044358532 scopus 로고    scopus 로고
    • Multiple imputation for model checking: completed-data plots with missing and latent data
    • Gelman A, Mechelen IV, Verbeke G, Heitjan DF, Meulders M. Multiple imputation for model checking: completed-data plots with missing and latent data. Biometrics 2005; 61:74-85.
    • (2005) Biometrics , vol.61 , pp. 74-85
    • Gelman, A.1    Mechelen, I.V.2    Verbeke, G.3    Heitjan, D.F.4    Meulders, M.5
  • 38
    • 38049181505 scopus 로고    scopus 로고
    • Residuals analysis for linear mixed models
    • Nobre J, Singer J. Residuals analysis for linear mixed models. Biometrical Journal 2007; 6:863-875.
    • (2007) Biometrical Journal , vol.6 , pp. 863-875
    • Nobre, J.1    Singer, J.2
  • 39
    • 51249106216 scopus 로고    scopus 로고
    • Breast cancer, psychological distress and life events among young women
    • Peled R, Carmil D, Siboni-Samocha O, Shoham-Vardi I. Breast cancer, psychological distress and life events among young women. BMC Cancer 2008; 8:245.
    • (2008) BMC Cancer , vol.8 , pp. 245
    • Peled, R.1    Carmil, D.2    Siboni-Samocha, O.3    Shoham-Vardi, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.