405 related articles for article (PubMed ID: 16158396)
1. Reduced-rank hazard regression for modelling non-proportional hazards.
Perperoglou A; le Cessie S; van Houwelingen HC
Stat Med; 2006 Aug; 25(16):2831-45. PubMed ID: 16158396
[TBL] [Abstract][Full Text] [Related]
2. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects.
Royston P; Parmar MK
Stat Med; 2002 Aug; 21(15):2175-97. PubMed ID: 12210632
[TBL] [Abstract][Full Text] [Related]
3. Dynamic Cox modelling based on fractional polynomials: time-variations in gastric cancer prognosis.
Berger U; Schäfer J; Ulm K
Stat Med; 2003 Apr; 22(7):1163-80. PubMed ID: 12652560
[TBL] [Abstract][Full Text] [Related]
4. On robustness of marginal regression coefficient estimates and hazard functions in multivariate survival analysis of family data when the frailty distribution is mis-specified.
Hsu L; Gorfine M; Malone K
Stat Med; 2007 Nov; 26(25):4657-78. PubMed ID: 17348081
[TBL] [Abstract][Full Text] [Related]
5. Nonparametric tests of association between survival time and continuously measured covariates: the logit-rank and associated procedures.
O'Quigley J; Prentice RL
Biometrics; 1991 Mar; 47(1):117-27. PubMed ID: 2049493
[TBL] [Abstract][Full Text] [Related]
6. Modelling survival in acute severe illness: Cox versus accelerated failure time models.
Moran JL; Bersten AD; Solomon PJ; Edibam C; Hunt T;
J Eval Clin Pract; 2008 Feb; 14(1):83-93. PubMed ID: 18211649
[TBL] [Abstract][Full Text] [Related]
7. Time-dependent effects of fixed covariates in Cox regression.
Verweij PJ; van Houwelingen HC
Biometrics; 1995 Dec; 51(4):1550-6. PubMed ID: 8589239
[TBL] [Abstract][Full Text] [Related]
8. A relative survival regression model using B-spline functions to model non-proportional hazards.
Giorgi R; Abrahamowicz M; Quantin C; Bolard P; Esteve J; Gouvernet J; Faivre J
Stat Med; 2003 Sep; 22(17):2767-84. PubMed ID: 12939785
[TBL] [Abstract][Full Text] [Related]
9. Avoiding infinite estimates of time-dependent effects in small-sample survival studies.
Heinze G; Dunkler D
Stat Med; 2008 Dec; 27(30):6455-69. PubMed ID: 18816502
[TBL] [Abstract][Full Text] [Related]
10. A fast routine for fitting Cox models with time varying effects of the covariates.
Perperoglou A; le Cessie S; van Houwelingen HC
Comput Methods Programs Biomed; 2006 Feb; 81(2):154-61. PubMed ID: 16426701
[TBL] [Abstract][Full Text] [Related]
11. Visualizing covariates in proportional hazards model.
Karvanen J; Harrell FE
Stat Med; 2009 Jun; 28(14):1957-66. PubMed ID: 19378282
[TBL] [Abstract][Full Text] [Related]
12. Evaluating survival model performance: a graphical approach.
Mandel M; Galai N; Simchen E
Stat Med; 2005 Jun; 24(12):1933-45. PubMed ID: 15806618
[TBL] [Abstract][Full Text] [Related]
13. Bayesian inference for recurrent events data using time-dependent frailty.
Manda SO; Meyer R
Stat Med; 2005 Apr; 24(8):1263-74. PubMed ID: 15568192
[TBL] [Abstract][Full Text] [Related]
14. Assessing time-by-covariate interactions in relative survival models using restrictive cubic spline functions.
Bolard P; Quantin C; Abrahamowicz M; Esteve J; Giorgi R; Chadha-Boreham H; Binquet C; Faivre J
J Cancer Epidemiol Prev; 2002; 7(3):113-22. PubMed ID: 12665210
[TBL] [Abstract][Full Text] [Related]
15. Reduced rank hazard regression with fixed and time-varying effects of the covariates.
Perperoglou A
Biom J; 2013 Jan; 55(1):38-51. PubMed ID: 23203917
[TBL] [Abstract][Full Text] [Related]
16. Assessing interactions of binary time-dependent covariates with time in cox proportional hazards regression models using cubic spline functions.
Heinzl H; Kaider A; Zlabinger G
Stat Med; 1996 Dec; 15(23):2589-601. PubMed ID: 8961465
[TBL] [Abstract][Full Text] [Related]
17. Partly conditional survival models for longitudinal data.
Zheng Y; Heagerty PJ
Biometrics; 2005 Jun; 61(2):379-91. PubMed ID: 16011684
[TBL] [Abstract][Full Text] [Related]
18. The estimation of average hazard ratios by weighted Cox regression.
Schemper M; Wakounig S; Heinze G
Stat Med; 2009 Aug; 28(19):2473-89. PubMed ID: 19472308
[TBL] [Abstract][Full Text] [Related]
19. Approaches in modelling long-term survival: an application to breast cancer.
Perperoglou A; Keramopoullos A; van Houwelingen HC
Stat Med; 2007 Jun; 26(13):2666-85. PubMed ID: 17072918
[TBL] [Abstract][Full Text] [Related]
20. Bayesian proportional hazards model with time-varying regression coefficients: a penalized Poisson regression approach.
Lambert P; Eilers PH
Stat Med; 2005 Dec; 24(24):3977-89. PubMed ID: 16320263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]