These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
251 related articles for article (PubMed ID: 10877316)
1. Nonparametric analysis of recurrent events and death. Ghosh D; Lin DY Biometrics; 2000 Jun; 56(2):554-62. PubMed ID: 10877316 [TBL] [Abstract][Full Text] [Related]
2. Semiparametric transformation models with time-varying coefficients for recurrent and terminal events. Zhao X; Zhou J; Sun L Biometrics; 2011 Jun; 67(2):404-14. PubMed ID: 20618309 [TBL] [Abstract][Full Text] [Related]
3. An additive-multiplicative rates model for recurrent event data with informative terminal event. Sun L; Kang F Lifetime Data Anal; 2013 Jan; 19(1):117-37. PubMed ID: 22965680 [TBL] [Abstract][Full Text] [Related]
4. Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data. Abd-Elfattah EF Lifetime Data Anal; 2011 Jul; 17(3):461-72. PubMed ID: 21140212 [TBL] [Abstract][Full Text] [Related]
5. A flexible semiparametric transformation model for recurrent event data. Dong L; Sun L Lifetime Data Anal; 2015 Jan; 21(1):20-41. PubMed ID: 24241908 [TBL] [Abstract][Full Text] [Related]
6. Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study. Meira-Machado L; Sestelo M; Gonçalves A Biom J; 2016 May; 58(3):623-34. PubMed ID: 26455826 [TBL] [Abstract][Full Text] [Related]
7. Comparison of nonparametric estimators of the expected number of recurrent events. Erdmann A; Beyersmann J; Bluhmki E Pharm Stat; 2024; 23(3):339-369. PubMed ID: 38153191 [TBL] [Abstract][Full Text] [Related]
8. Nonparametric modeling of the gap time in recurrent event data. Du P Lifetime Data Anal; 2009 Jun; 15(2):256-77. PubMed ID: 19123038 [TBL] [Abstract][Full Text] [Related]
9. Weighted logrank tests for interval censored data when assessment times depend on treatment. Fay MP; Shih JH Stat Med; 2012 Dec; 31(28):3760-72. PubMed ID: 22786795 [TBL] [Abstract][Full Text] [Related]
10. Nonparametric comparison for panel count data with unequal observation processes. Zhao X; Sun J Biometrics; 2011 Sep; 67(3):770-9. PubMed ID: 21114659 [TBL] [Abstract][Full Text] [Related]
11. Modeling zero-inflated count data when exposure varies: With an application to tumor counts. Baetschmann G; Winkelmann R Biom J; 2013 Sep; 55(5):679-86. PubMed ID: 24003010 [TBL] [Abstract][Full Text] [Related]
13. Non-parametric inference for cumulative incidence functions in competing risks studies. Lin DY Stat Med; 1997 Apr; 16(8):901-10. PubMed ID: 9160487 [TBL] [Abstract][Full Text] [Related]
14. Semiparametric analysis of recurrent events data in the presence of dependent censoring. Ghosh D; Lin DY Biometrics; 2003 Dec; 59(4):877-85. PubMed ID: 14969466 [TBL] [Abstract][Full Text] [Related]
15. A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events. Sun X; Ding J; Sun L Lifetime Data Anal; 2020 Jul; 26(3):471-492. PubMed ID: 31549283 [TBL] [Abstract][Full Text] [Related]
17. Nonparametric tests for the gap time distributions of serial events based on censored data. Lin DY; Ying Z Biometrics; 2001 Jun; 57(2):369-75. PubMed ID: 11414558 [TBL] [Abstract][Full Text] [Related]
18. Statistical inference for data-adaptive doubly robust estimators with survival outcomes. Díaz I Stat Med; 2019 Jul; 38(15):2735-2748. PubMed ID: 30950107 [TBL] [Abstract][Full Text] [Related]
19. A penalized algorithm for event-specific rate models for recurrent events. Bouaziz O; Guilloux A Biostatistics; 2015 Apr; 16(2):281-94. PubMed ID: 25388299 [TBL] [Abstract][Full Text] [Related]
20. Empirical receiver operating characteristic curve for two-sample comparison with cure fractions. Zhao X; Zhou X Lifetime Data Anal; 2010 Jul; 16(3):316-32. PubMed ID: 20221802 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]