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.
693 related articles for article (PubMed ID: 28913837)
1. Practical recommendations for reporting Fine-Gray model analyses for competing risk data. Austin PC; Fine JP Stat Med; 2017 Nov; 36(27):4391-4400. PubMed ID: 28913837 [TBL] [Abstract][Full Text] [Related]
2. A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression model. Austin PC; Latouche A; Fine JP Stat Med; 2020 Jan; 39(2):103-113. PubMed ID: 31660633 [TBL] [Abstract][Full Text] [Related]
3. Estimation of the Absolute Risk of Cardiovascular Disease and Other Events: Issues With the Use of Multiple Fine-Gray Subdistribution Hazard Models. Austin PC; Putter H; Lee DS; Steyerberg EW Circ Cardiovasc Qual Outcomes; 2022 Feb; 15(2):e008368. PubMed ID: 35098725 [TBL] [Abstract][Full Text] [Related]
4. Tree-based models for survival data with competing risks. Kretowska M Comput Methods Programs Biomed; 2018 Jun; 159():185-198. PubMed ID: 29650312 [TBL] [Abstract][Full Text] [Related]
5. The number of primary events per variable affects estimation of the subdistribution hazard competing risks model. Austin PC; Allignol A; Fine JP J Clin Epidemiol; 2017 Mar; 83():75-84. PubMed ID: 28088594 [TBL] [Abstract][Full Text] [Related]
6. Fine-Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1. Austin PC; Steyerberg EW; Putter H Stat Med; 2021 Aug; 40(19):4200-4212. PubMed ID: 33969508 [TBL] [Abstract][Full Text] [Related]
7. The importance of censoring in competing risks analysis of the subdistribution hazard. Donoghoe MW; Gebski V BMC Med Res Methodol; 2017 Apr; 17(1):52. PubMed ID: 28376736 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Methods of competing risks flexible parametric modeling for estimation of the risk of the first disease among HIV infected men. Nouri S; Mahmoudi M; Mohammad K; Mansournia MA; Yaseri M; Akhtar-Danesh N BMC Med Res Methodol; 2020 Jan; 20(1):17. PubMed ID: 31996148 [TBL] [Abstract][Full Text] [Related]
10. On the relation between the cause-specific hazard and the subdistribution rate for competing risks data: The Fine-Gray model revisited. Putter H; Schumacher M; van Houwelingen HC Biom J; 2020 May; 62(3):790-807. PubMed ID: 32128860 [TBL] [Abstract][Full Text] [Related]
11. Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Austin PC; Lee DS; Fine JP Circulation; 2016 Feb; 133(6):601-9. PubMed ID: 26858290 [TBL] [Abstract][Full Text] [Related]
12. A comparison of the Cox model to the Fine-Gray model for survival analyses of re-fracture rates. Nolan EK; Chen HY Arch Osteoporos; 2020 Jun; 15(1):86. PubMed ID: 32519193 [TBL] [Abstract][Full Text] [Related]
13. Simulation shows undesirable results for competing risks analysis with time-dependent covariates for clinical outcomes. Poguntke I; Schumacher M; Beyersmann J; Wolkewitz M BMC Med Res Methodol; 2018 Jul; 18(1):79. PubMed ID: 30012114 [TBL] [Abstract][Full Text] [Related]
14. Cumulative incidence in competing risks data and competing risks regression analysis. Kim HT Clin Cancer Res; 2007 Jan; 13(2 Pt 1):559-65. PubMed ID: 17255278 [TBL] [Abstract][Full Text] [Related]
15. Semiparametric competing risks regression under interval censoring using the R package intccr. Park J; Bakoyannis G; Yiannoutsos CT Comput Methods Programs Biomed; 2019 May; 173():167-176. PubMed ID: 31046992 [TBL] [Abstract][Full Text] [Related]
16. Analysis and design of randomised clinical trials involving competing risks endpoints. Tai BC; Wee J; Machin D Trials; 2011 May; 12():127. PubMed ID: 21595883 [TBL] [Abstract][Full Text] [Related]
17. Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry. Lau B; Cole SR; Gange SJ Stat Med; 2011 Mar; 30(6):654-65. PubMed ID: 21337360 [TBL] [Abstract][Full Text] [Related]
18. Time-dependent covariates in the proportional subdistribution hazards model for competing risks. Beyersmann J; Schumacher M Biostatistics; 2008 Oct; 9(4):765-76. PubMed ID: 18434297 [TBL] [Abstract][Full Text] [Related]
19. Random Survival Forests With Competing Events: A Subdistribution-Based Imputation Approach. Behning C; Bigerl A; Wright MN; Sekula P; Berger M; Schmid M Biom J; 2024 Sep; 66(6):e202400014. PubMed ID: 39162087 [TBL] [Abstract][Full Text] [Related]
20. Survival analysis in the presence of competing risks. Zhang Z Ann Transl Med; 2017 Feb; 5(3):47. PubMed ID: 28251126 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]