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 *

137 related articles for article (PubMed ID: 20337629)

  • 1. Inverse probability of censoring weighted estimates of Kendall's τ for gap time analyses.
    Lakhal-Chaieb L; Cook RJ; Lin X
    Biometrics; 2010 Dec; 66(4):1145-52. PubMed ID: 20337629
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Serial association analyses of recurrent gap time data via Kendall's tau.
    Fu TC; Su DH; Chang SH
    Biostatistics; 2016 Jan; 17(1):188-202. PubMed ID: 26395906
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantifying the association between progression-free survival and overall survival in oncology trials using Kendall's τ.
    Weber EM; Titman AC
    Stat Med; 2019 Feb; 38(5):703-719. PubMed ID: 30311243
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonparametric inference on bivariate survival data with interval sampling: association estimation and testing.
    Zhu H; Wang MC
    Biometrika; 2014 Sep; 101(3):519-533. PubMed ID: 32390662
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A flexible and robust method for assessing conditional association and conditional concordance.
    Liu X; Ning J; Cheng Y; Huang X; Li R
    Stat Med; 2019 Aug; 38(19):3656-3668. PubMed ID: 31074082
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure.
    Austin MD; Betensky RA
    Comput Stat Data Anal; 2014 May; 73():16-26. PubMed ID: 24505164
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A semiparametric estimator of the bivariate distribution function for censored gap times.
    de Uña-Álvarez J; Amorim AP
    Biom J; 2011 Feb; 53(1):113-27. PubMed ID: 21259312
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Nonparametric analysis of bivariate gap time with competing risks.
    Huang CY; Wang C; Wang MC
    Biometrics; 2016 Sep; 72(3):780-90. PubMed ID: 26990686
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-parametric estimation and model checking procedures for marginal gap time distributions for recurrent events.
    Kvist K; Gerster M; Andersen PK; Kessing LV
    Stat Med; 2007 Dec; 26(30):5394-410. PubMed ID: 17994608
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the association between variables with lower detection limits.
    Romdhani H; Lakhal-Chaieb L
    Stat Med; 2011 Nov; 30(26):3137-48. PubMed ID: 21898520
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of integrated transition hazards and stage occupation probabilities for non-Markov systems under dependent censoring.
    Datta S; Satten GA
    Biometrics; 2002 Dec; 58(4):792-802. PubMed ID: 12495133
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator.
    Willems S; Schat A; van Noorden MS; Fiocco M
    Stat Methods Med Res; 2018 Feb; 27(2):323-335. PubMed ID: 26988930
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Double inverse-weighted estimation of cumulative treatment effects under nonproportional hazards and dependent censoring.
    Schaubel DE; Wei G
    Biometrics; 2011 Mar; 67(1):29-38. PubMed ID: 20560935
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimation with interval censored data and covariates.
    Van der Laan MJ; Hubbard A
    Lifetime Data Anal; 1997; 3(1):77-91. PubMed ID: 9384627
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatin.
    Kawahara T; Shinozaki T; Matsuyama Y
    BMC Med Res Methodol; 2020 Jul; 20(1):204. PubMed ID: 32736528
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Interaction screening by Kendall's partial correlation for ultrahigh-dimensional data with survival trait.
    Wang JH; Chen YH
    Bioinformatics; 2020 May; 36(9):2763-2769. PubMed ID: 31926011
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Generating random series with known values of Kendall's tau.
    Arndt S; Magnotta V
    Comput Methods Programs Biomed; 2001 Apr; 65(1):17-23. PubMed ID: 11223148
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Kaplan-Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average.
    Satten GA; Datta S
    Am Stat; 2001; 55(3):207-210. PubMed ID: 28845048
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Variable selection using inverse probability of censoring weighting.
    Kojima M
    Stat Methods Med Res; 2023 Nov; 32(11):2184-2206. PubMed ID: 37675496
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.