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.
135 related articles for article (PubMed ID: 26990553)
1. A multivariate cure model for left-censored and right-censored data with application to colorectal cancer screening patterns. Hagar YC; Harvey DJ; Beckett LA Stat Med; 2016 Aug; 35(19):3347-67. PubMed ID: 26990553 [TBL] [Abstract][Full Text] [Related]
2. Pseudo maximum likelihood approach for the analysis of multivariate left-censored longitudinal data. Solomon G; Weissfeld L Stat Med; 2017 Jan; 36(1):81-91. PubMed ID: 27538729 [TBL] [Abstract][Full Text] [Related]
3. Nonparametric estimation in an "illness-death" model when all transition times are interval censored. Frydman H; Gerds T; Grøn R; Keiding N Biom J; 2013 Nov; 55(6):823-43. PubMed ID: 24038105 [TBL] [Abstract][Full Text] [Related]
4. A multistate survival model of the natural history of cancer using data from screened and unscreened population. Bhatt R; van den Hout A; Pashayan N Stat Med; 2021 Jul; 40(16):3791-3807. PubMed ID: 33951215 [TBL] [Abstract][Full Text] [Related]
5. A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup. Sun L; Li S; Wang L; Song X Stat Methods Med Res; 2021 Aug; 30(8):1890-1903. PubMed ID: 34197261 [TBL] [Abstract][Full Text] [Related]
6. Cure rate model with interval censored data. Kim YJ; Jhun M Stat Med; 2008 Jan; 27(1):3-14. PubMed ID: 17516589 [TBL] [Abstract][Full Text] [Related]
7. Estimations of competing lifetime data from inverse Weibull distribution under adaptive progressively hybrid censored. Azm WSAE; Aldallal R; Aljohani HM; Nassr SG Math Biosci Eng; 2022 Apr; 19(6):6252-6275. PubMed ID: 35603400 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Penalized likelihood estimation of a mixture cure Cox model with partly interval censoring-An application to thin melanoma. Webb A; Ma J; Lô SN Stat Med; 2022 Jul; 41(17):3260-3280. PubMed ID: 35474515 [TBL] [Abstract][Full Text] [Related]
10. Regression models for interval censored data using parametric pseudo-observations. Johansen MN; Lundbye-Christensen S; Larsen JM; Parner ET BMC Med Res Methodol; 2021 Feb; 21(1):36. PubMed ID: 33588771 [TBL] [Abstract][Full Text] [Related]
11. Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed. Safari WC; López-de-Ullibarri I; Jácome MA Stat Methods Med Res; 2022 Nov; 31(11):2164-2188. PubMed ID: 35912505 [TBL] [Abstract][Full Text] [Related]
12. Nonparametric covariate hypothesis tests for the cure rate in mixture cure models. López-Cheda A; Jácome MA; Van Keilegom I; Cao R Stat Med; 2020 Jul; 39(17):2291-2307. PubMed ID: 32478440 [TBL] [Abstract][Full Text] [Related]
14. Multiple imputation of missing covariates for the Cox proportional hazards cure model. Beesley LJ; Bartlett JW; Wolf GT; Taylor JM Stat Med; 2016 Nov; 35(26):4701-4717. PubMed ID: 27439726 [TBL] [Abstract][Full Text] [Related]
15. A nonparametric estimator of survival functions for arbitrarily truncated and censored data. Pan W; Chappell R Lifetime Data Anal; 1998; 4(2):187-202. PubMed ID: 9658775 [TBL] [Abstract][Full Text] [Related]
16. Variable selection in semiparametric nonmixture cure model with interval-censored failure time data: An application to the prostate cancer screening study. Sun L; Li S; Wang L; Song X Stat Med; 2019 Jul; 38(16):3026-3039. PubMed ID: 31032999 [TBL] [Abstract][Full Text] [Related]
17. A new survival model with surviving fraction: An application to colorectal cancer data. Barriga GD; Cancho VG; Garibay DV; Cordeiro GM; Ortega EM Stat Methods Med Res; 2019 Sep; 28(9):2665-2680. PubMed ID: 29984625 [TBL] [Abstract][Full Text] [Related]
18. A two-phase model for chronic disease processes under intermittent inspection. Wu Y; Cook RJ Stat Med; 2017 Jun; 36(13):2016-2031. PubMed ID: 28238209 [TBL] [Abstract][Full Text] [Related]
19. Non-Mixture Cure Model Estimation in Bladder Cancer Patients: A Novel Approach with Exponentiated Weibull Exponential Distribution. Omer ME; Mustafa M; Ali N; Abd Rahman NH Asian Pac J Cancer Prev; 2023 Dec; 24(12):4167-4177. PubMed ID: 38156852 [TBL] [Abstract][Full Text] [Related]
20. Estimating overall exposure effects for the clustered and censored outcome using random effect Tobit regression models. Wang W; Griswold ME Stat Med; 2016 Nov; 35(27):4948-4960. PubMed ID: 27449636 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]