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.
133 related articles for article (PubMed ID: 26553433)
1. Comparing estimation approaches for the illness-death model under left truncation and right censoring. Vakulenko-Lagun B; Mandel M Stat Med; 2016 Apr; 35(9):1533-48. PubMed ID: 26553433 [TBL] [Abstract][Full Text] [Related]
2. Nonparametric estimation in the illness-death model using prevalent data. Vakulenko-Lagun B; Mandel M; Goldberg Y Lifetime Data Anal; 2017 Jan; 23(1):25-56. PubMed ID: 27352217 [TBL] [Abstract][Full Text] [Related]
3. A pairwise likelihood augmented Cox estimator for left-truncated data. Wu F; Kim S; Qin J; Saran R; Li Y Biometrics; 2018 Mar; 74(1):100-108. PubMed ID: 28853158 [TBL] [Abstract][Full Text] [Related]
4. A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring. Shao L; Li H; Li S; Sun J BMC Med Res Methodol; 2023 Apr; 23(1):82. PubMed ID: 37016341 [TBL] [Abstract][Full Text] [Related]
5. Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring. Geskus RB Biometrics; 2011 Mar; 67(1):39-49. PubMed ID: 20377575 [TBL] [Abstract][Full Text] [Related]
6. Semiparametric likelihood inference for left-truncated and right-censored data. Huang CY; Ning J; Qin J Biostatistics; 2015 Oct; 16(4):785-98. PubMed ID: 25796430 [TBL] [Abstract][Full Text] [Related]
7. Testing goodness of fit of a uniform truncation model. Mandel M; Betensky RA Biometrics; 2007 Jun; 63(2):405-12. PubMed ID: 17688493 [TBL] [Abstract][Full Text] [Related]
8. Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data. Chen CM; Shen PS Lifetime Data Anal; 2018 Apr; 24(2):250-272. PubMed ID: 28168333 [TBL] [Abstract][Full Text] [Related]
9. Semiparametric analysis of survival data with left truncation and dependent right censoring. Jiang H; Fine JP; Chappell R Biometrics; 2005 Jun; 61(2):567-75. PubMed ID: 16011706 [TBL] [Abstract][Full Text] [Related]
10. A semiparametric mixture cure survival model for left-truncated and right-censored data. Chen CM; Shen PS; Wei JC; Lin L Biom J; 2017 Mar; 59(2):270-290. PubMed ID: 27878856 [TBL] [Abstract][Full Text] [Related]
13. Robust and efficient estimation in the parametric proportional hazards model under random censoring. Ghosh A; Basu A Stat Med; 2019 Nov; 38(27):5283-5299. PubMed ID: 31660630 [TBL] [Abstract][Full Text] [Related]
16. The competing risks illness-death model under cross-sectional sampling. Mandel M Biostatistics; 2010 Apr; 11(2):290-303. PubMed ID: 19933879 [TBL] [Abstract][Full Text] [Related]
17. Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data. Lu T; Li S; Sun L Lifetime Data Anal; 2023 Jul; 29(3):672-697. PubMed ID: 36959395 [TBL] [Abstract][Full Text] [Related]
18. Nonparametric and semiparametric regression estimation for length-biased survival data. Shen Y; Ning J; Qin J Lifetime Data Anal; 2017 Jan; 23(1):3-24. PubMed ID: 27086362 [TBL] [Abstract][Full Text] [Related]
19. Nonparametric estimation of transition probabilities for a general progressive multi-state model under cross-sectional sampling. de Uña-Álvarez J; Mandel M Biometrics; 2018 Dec; 74(4):1203-1212. PubMed ID: 29603718 [TBL] [Abstract][Full Text] [Related]
20. Inference methods for correlated left truncated lifetimes: parent and offspring relations in an adoption study. Petersen L; Sørensen TI; Nielsen GG; Andersen PK Lifetime Data Anal; 2006 Mar; 12(1):5-20. PubMed ID: 16583296 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]