메뉴 건너뛰기




Volumn 10, Issue 3, 2010, Pages 291-314

Flexible hazard ratio curves for continuous predictors in multi-state models: An application to breast cancer data

Author keywords

Cox model; hazard ratio; multi state model; penalized splines

Indexed keywords


EID: 77957312449     PISSN: 1471082X     EISSN: 14770342     Source Type: Journal    
DOI: 10.1177/1471082X0801000303     Document Type: Article
Times cited : (30)

References (42)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-23.
    • (1974) IEEE Transactions on Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 4
    • 0034728345 scopus 로고    scopus 로고
    • Multi-state models for bleeding episodes and mortality in liver cirrhosis
    • Andersen PK, Esbjerj S and Sorensen TIA (2000) Multi-state models for bleeding episodes and mortality in liver cirrhosis. Statistics in Medicine, 19, 587-99.
    • (2000) Statistics in Medicine , vol.19 , pp. 587-599
    • Andersen, P.K.1    Esbjerj, S.2    Sorensen, T.I.A.3
  • 6
    • 0000509833 scopus 로고
    • Model misspecification in proportional hazards regression
    • Anderson GL and Fleming TR (1995) Model misspecification in proportional hazards regression. Biometrika, 82, 527-41.
    • (1995) Biometrika , vol.82 , pp. 527-541
    • Anderson, G.L.1    Fleming, T.R.2
  • 7
    • 27444442456 scopus 로고    scopus 로고
    • BayesX: analyzing bayesian structured additive regression models
    • Brezger A, Kneib T and Lang S (2005) BayesX: analyzing bayesian structured additive regression models. Journal of Statistical Software, 14, 1-22 (http://www.jstatsoft.org/).
    • (2005) Journal of Statistical Software , vol.14 , pp. 1-22
    • Brezger, A.1    Kneib, T.2    Lang, S.3
  • 8
    • 26444547624 scopus 로고    scopus 로고
    • Generalized structured additive regression based on Bayesian P-Splines
    • Brezger A and Lang S (2006) Generalized structured additive regression based on Bayesian P-Splines. Computational Statistics and Data Analysis, 50, 967-91.
    • (2006) Computational Statistics and Data Analysis , vol.50 , pp. 967-991
    • Brezger, A.1    Lang, S.2
  • 9
  • 13
    • 25444532788 scopus 로고    scopus 로고
    • Flexible smoothing with B-splines and penalties
    • Eilers PHC and Marx BD (1996) Flexible smoothing with B-splines and penalties. Statistical Science, 11, 89-121.
    • (1996) Statistical Science , vol.11 , pp. 89-121
    • Eilers, P.H.C.1    Marx, B.D.2
  • 15
    • 21144472187 scopus 로고
    • Flexible methods for analyzing survival data using splines, with application to breast cancer prognosis
    • Gray RJ (1992) Flexible methods for analyzing survival data using splines, with application to breast cancer prognosis. Journal of the American Statistical Association, 87, 942-51.
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 942-951
    • Gray, R.J.1
  • 16
    • 0029020424 scopus 로고
    • Dose-response and trend analysis in epidemiology: alternatives to categorical analysis
    • Greenland S (1995) Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology, 6, 356-65.
    • (1995) Epidemiology , vol.6 , pp. 356-365
    • Greenland, S.1
  • 17
    • 36849069347 scopus 로고    scopus 로고
    • American Society of Clinical Oncoloy 2007 update of recommendations for the use of tumor markers in breast cancer
    • Harris L, Fritsche H, Mennel R, Norton L,et al.(2007) American Society of Clinical Oncoloy 2007 update of recommendations for the use of tumor markers in breast cancer. Journal of Clinical Oncology, 25, 5287-312.
    • (2007) Journal of Clinical Oncology , vol.25 , pp. 5287-5312
    • Harris, L.1    Fritsche, H.2    Mennel, R.3    Norton, L.4
  • 19
    • 0025677550 scopus 로고
    • Exploring the nature of covariate effects in the proportional hazards model
    • Hastie TJ and Tibshirani RJ (1990b) Exploring the nature of covariate effects in the proportional hazards model. Biometrics, 46, 1005-16.
    • (1990) Biometrics , vol.46 , pp. 1005-1016
    • Hastie, T.J.1    Tibshirani, R.J.2
  • 21
    • 0033193308 scopus 로고    scopus 로고
    • Multi-state models: a review
    • Hougaard P (1999) Multi-state models: a review. Lifetime Data Analysis, 5, 239-64.
    • (1999) Lifetime Data Analysis , vol.5 , pp. 239-264
    • Hougaard, P.1
  • 23
    • 33748791723 scopus 로고    scopus 로고
    • Polynomial spline estimation and inference of proportional hazards regression models with flexible relative risk form
    • Huang JZ and Liu L (2006) Polynomial spline estimation and inference of proportional hazards regression models with flexible relative risk form. Biometrics, 62, 793-802.
    • (2006) Biometrics , vol.62 , pp. 793-802
    • Huang, J.Z.1    Liu, L.2
  • 24
    • 0001354983 scopus 로고    scopus 로고
    • Smoothing parameter selection in nonparametric regression using an improved akaike information criterion
    • Hurvich CM, Simonoff JS and Tsai ChL (1998) Smoothing parameter selection in nonparametric regression using an improved akaike information criterion. Journal of the Royal Statistical Society, Series B, 60, 271-93.
    • (1998) Journal of the Royal Statistical Society, Series B , vol.60 , pp. 271-293
    • Hurvich, C.M.1    Simonoff, J.S.2    Tsai, C.H.L.3
  • 25
    • 0022965472 scopus 로고
    • A Markov model for analysing cancer markers and disease states in survival studies
    • Kay R (1986) A Markov model for analysing cancer markers and disease states in survival studies. Biometrics, 42, 855-65.
    • (1986) Biometrics , vol.42 , pp. 855-865
    • Kay, R.1
  • 26
    • 10944247796 scopus 로고    scopus 로고
    • An explanation of the hazard ratio
    • Kay R (2004) An explanation of the hazard ratio. Pharmaceutical Statistics, 3, 295-97.
    • (2004) Pharmaceutical Statistics , vol.3 , pp. 295-297
    • Kay, R.1
  • 27
    • 33847380991 scopus 로고    scopus 로고
    • A mixed model approach for geoadditive hazard regression
    • Kneib T and Fahrmeir L (2007) A mixed model approach for geoadditive hazard regression. Scandinavian Journal of Statistics, 34, 207-28.
    • (2007) Scandinavian Journal of Statistics , vol.34 , pp. 207-228
    • Kneib, T.1    Fahrmeir, L.2
  • 28
    • 55249104054 scopus 로고    scopus 로고
    • Bayesian semiparametric multi-state models
    • Kneib T and Hennerfeind A (2008) Bayesian semiparametric multi-state models. Statistical Modelling, 8, 169-98.
    • (2008) Statistical Modelling , vol.8 , pp. 169-198
    • Kneib, T.1    Hennerfeind, A.2
  • 30
    • 0001406104 scopus 로고    scopus 로고
    • Statistical considerations in DNA flow cytometry
    • Lynn-Eudey T (1996) Statistical considerations in DNA flow cytometry. Statistical Science, 11, 320-34.
    • (1996) Statistical Science , vol.11 , pp. 320-334
    • Lynn-Eudey, T.1
  • 34
    • 34248397713 scopus 로고    scopus 로고
    • Tutorial in biostatistics: competing risks and multi-state models
    • Putter H, Fiocco M and Geskus RB (2007) Tutorial in biostatistics: competing risks and multi-state models. Statistics in Medicine, 11, 2389-430.
    • (2007) Statistics in Medicine , vol.11 , pp. 2389-2430
    • Putter, H.1    Fiocco, M.2    Geskus, R.B.3
  • 35
    • 0004509186 scopus 로고
    • Regression using fractional polynomials of continuous covariates: parsimonious parametric modeling
    • Royston P and Altman DG (1994) Regression using fractional polynomials of continuous covariates: parsimonious parametric modeling. Applied Statistics, 43, 425-67.
    • (1994) Applied Statistics , vol.43 , pp. 425-467
    • Royston, P.1    Altman, D.G.2
  • 37
    • 57049173410 scopus 로고    scopus 로고
    • Use of penalized splines in extended cox-type additive hazard regression to flexibly estimate the effect of time-varying serum uric acid on risk of cancer incidence: a prospective, population-based study in 78850 men
    • Strasak AM, Lang S, Kneib T, Brant L,et al.(2009) Use of penalized splines in extended cox-type additive hazard regression to flexibly estimate the effect of time-varying serum uric acid on risk of cancer incidence: a prospective, population-based study in 78850 men. Annals of Epidemiology, 19, 15-24.
    • (2009) Annals of Epidemiology , vol.19 , pp. 15-24
    • Strasak, A.M.1    Lang, S.2    Kneib, T.3    Brant, L.4
  • 38
    • 0000619374 scopus 로고
    • Misspecifed proportional hazards models
    • Struthers CA and Kalbfeisch JD (1986) Misspecifed proportional hazards models. Biometrika, 73, 363-69.
    • (1986) Biometrika , vol.73 , pp. 363-369
    • Struthers, C.A.1    Kalbfeisch, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.