152 related articles for article (PubMed ID: 15565735)
1. Statistical analysis of current status data with informative observation times.
Zhang Z; Sun J; Sun L
Stat Med; 2005 May; 24(9):1399-407. PubMed ID: 15565735
[TBL] [Abstract][Full Text] [Related]
2. A frailty model approach for regression analysis of multivariate current status data.
Chen MH; Tong X; Sun J
Stat Med; 2009 Nov; 28(27):3424-36. PubMed ID: 19739240
[TBL] [Abstract][Full Text] [Related]
3. Regression analysis of multivariate interval-censored failure time data with application to tumorigenicity experiments.
Tong X; Chen MH; Sun J
Biom J; 2008 Jun; 50(3):364-74. PubMed ID: 18435503
[TBL] [Abstract][Full Text] [Related]
4. Regression analysis of doubly censored failure time data using the additive hazards model.
Sun L; Kim YJ; Sun J
Biometrics; 2004 Sep; 60(3):637-43. PubMed ID: 15339285
[TBL] [Abstract][Full Text] [Related]
5. Global tests for analysis of multiple tumour data from animal carcinogenicity experiments.
Chen JJ
Stat Med; 1996 Jun; 15(11):1217-25. PubMed ID: 8804149
[TBL] [Abstract][Full Text] [Related]
6. Semiparametric transformation models for current status data with informative censoring.
Chen CM; Lu TF; Chen MH; Hsu CM
Biom J; 2012 Sep; 54(5):641-56. PubMed ID: 22886604
[TBL] [Abstract][Full Text] [Related]
7. Inference for a family of survival models encompassing the proportional hazards and proportional odds models.
Zucker DM; Yang S
Stat Med; 2006 Mar; 25(6):995-1014. PubMed ID: 16220492
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Thresholds of carcinogenicity in the ED01 study.
Andersen ME; Conolly RB; Gaylor DW
Toxicol Sci; 2003 Aug; 74(2):486-7; author reply 487-8. PubMed ID: 12874369
[No Abstract] [Full Text] [Related]
10. A regression survival model for testing the proportional hazards hypothesis.
Quantin C; Moreau T; Asselain B; Maccario J; Lellouch J
Biometrics; 1996 Sep; 52(3):874-85. PubMed ID: 8924576
[TBL] [Abstract][Full Text] [Related]
11. Evidence of a "clear and consistent threshold" for bladder and liver cancer in the large ED01 carcinogenicity study.
Crump KS; Clewell HJ
Toxicol Sci; 2003 Aug; 74(2):485; author reply 485-6. PubMed ID: 12730607
[No Abstract] [Full Text] [Related]
12. Non-parametric estimation of gap time survival functions for ordered multivariate failure time data.
Schaubel DE; Cai J
Stat Med; 2004 Jun; 23(12):1885-900. PubMed ID: 15195322
[TBL] [Abstract][Full Text] [Related]
13. Multilevel modelling of clustered grouped survival data using Cox regression model: an application to ART dental restorations.
Wong MC; Lam KF; Lo EC
Stat Med; 2006 Feb; 25(3):447-57. PubMed ID: 16143989
[TBL] [Abstract][Full Text] [Related]
14. Regression analysis of panel count data with dependent observation times.
Sun J; Tong X; He X
Biometrics; 2007 Dec; 63(4):1053-9. PubMed ID: 18078478
[TBL] [Abstract][Full Text] [Related]
15. REML and ML estimation for clustered grouped survival data.
Lam KF; Ip D
Stat Med; 2003 Jun; 22(12):2025-34. PubMed ID: 12802820
[TBL] [Abstract][Full Text] [Related]
16. Regression analysis of doubly censored failure time data with frailty.
Kim YJ
Biometrics; 2006 Jun; 62(2):458-64. PubMed ID: 16918909
[TBL] [Abstract][Full Text] [Related]
17. The Mizon-Richard encompassing test for the Cox and Aalen additive hazards models.
Martinussen T; Aalen OO; Scheike TH
Biometrics; 2008 Mar; 64(1):164-71. PubMed ID: 17608786
[TBL] [Abstract][Full Text] [Related]
18. Comparing proportional hazards and accelerated failure time models for survival analysis.
Orbe J; Ferreira E; Núñez-Antón V
Stat Med; 2002 Nov; 21(22):3493-510. PubMed ID: 12407686
[TBL] [Abstract][Full Text] [Related]
19. Regression analysis of multivariate panel count data.
He X; Tong X; Sun J; Cook RJ
Biostatistics; 2008 Apr; 9(2):234-48. PubMed ID: 17626224
[TBL] [Abstract][Full Text] [Related]
20. Incorporating time-dependent covariates in survival analysis using the LVAR method.
Liu Y; Craig BA
Stat Med; 2006 May; 25(10):1729-40. PubMed ID: 16118818
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]