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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 35706834)

  • 1. Nonparametric tests for stratified additive hazards model based on current status data.
    Fan X; Zhao SS; Zhang Q; Sun J
    J Appl Stat; 2020; 47(12):2178-2191. PubMed ID: 35706834
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Regression analysis of multivariate interval-censored failure time data with informative censoring.
    Yu M; Feng Y; Duan R; Sun J
    Stat Methods Med Res; 2022 Mar; 31(3):391-403. PubMed ID: 34878352
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Regression analysis of informative current status data with the additive hazards model.
    Zhao S; Hu T; Ma L; Wang P; Sun J
    Lifetime Data Anal; 2015 Apr; 21(2):241-58. PubMed ID: 25078350
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An additive hazards cure model with informative interval censoring.
    Wang S; Wang C; Sun J
    Lifetime Data Anal; 2021 Apr; 27(2):244-268. PubMed ID: 33481146
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of accelerated hazards models based on case
    Ma R; Zhao S; Sun J; Wang S
    J Appl Stat; 2024; 51(7):1251-1270. PubMed ID: 38835825
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New methods for the additive hazards model with the informatively interval-censored failure time data.
    Zhao B; Wang S; Wang C; Sun J
    Biom J; 2021 Oct; 63(7):1507-1525. PubMed ID: 34216403
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonparametric comparison of survival functions based on interval-censored data with unequal censoring.
    Feng Y; Duan R; Sun J
    Stat Med; 2017 May; 36(12):1895-1906. PubMed ID: 28239879
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model.
    Li S; Tian T; Hu T; Sun J
    Stat Med; 2021 Dec; 40(28):6309-6320. PubMed ID: 34474502
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Group variable selection for the Cox model with interval-censored failure time data.
    Wu Y; Zhao H; Sun J
    Biometrics; 2023 Dec; 79(4):3082-3095. PubMed ID: 37211860
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A unified approach to variable selection for Cox's proportional hazards model with interval-censored failure time data.
    Du M; Zhao H; Sun J
    Stat Methods Med Res; 2021 Aug; 30(8):1833-1849. PubMed ID: 34232833
    [TBL] [Abstract][Full Text] [Related]  

  • 11. REGRESSION ANALYSIS OF CASE II INTERVAL-CENSORED FAILURE TIME DATA WITH THE ADDITIVE HAZARDS MODEL.
    Wang L; Sun J; Tong X
    Stat Sin; 2010; 20(4):1709-1723. PubMed ID: 26290652
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian analysis of the Box-Cox transformation model based on left-truncated and right-censored data.
    Wang C; Jiang J; Luo L; Wang S
    J Appl Stat; 2021; 48(8):1429-1441. PubMed ID: 35706470
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data.
    He B; Liu Y; Wu Y; Zhao X
    Lifetime Data Anal; 2020 Oct; 26(4):708-730. PubMed ID: 32157479
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A new class of generalized log rank tests for interval-censored failure time data.
    Zhao X; Duan R; Zhao Q; Sun J
    Comput Stat Data Anal; 2013 Apr; 60():123-131. PubMed ID: 26290617
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Regression analysis of case K interval-censored failure time data in the presence of informative censoring.
    Wang P; Zhao H; Sun J
    Biometrics; 2016 Dec; 72(4):1103-1112. PubMed ID: 27123560
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Goodness-of-fit inference for the additive hazards regression model with clustered current status data.
    Feng Y; Wang J; Li Y
    J Appl Stat; 2023; 50(9):1921-1941. PubMed ID: 37378268
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Group Tests for High-dimensional Failure Time Data with the Additive Hazards Models.
    Jiang D; Sun J
    Int J Biostat; 2017 May; 13(1):. PubMed ID: 28493818
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Case-cohort studies with interval-censored failure time data.
    Zhou Q; Zhou H; Cai J
    Biometrika; 2017 Mar; 104(1):17-29. PubMed ID: 28943643
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Regression Analysis of Case-cohort Studies in the Presence of Dependent Interval Censoring.
    Du M; Zhou Q; Zhao S; Sun J
    J Appl Stat; 2021; 48(5):846-865. PubMed ID: 33767519
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model.
    Wang P; Li D; Sun J
    Biometrics; 2021 Dec; 77(4):1303-1314. PubMed ID: 33058180
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.