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 *

208 related articles for article (PubMed ID: 22344869)

  • 1. Joint analysis of bivariate longitudinal ordinal outcomes and competing risks survival times with nonparametric distributions for random effects.
    Li N; Elashoff RM; Li G; Tseng CH
    Stat Med; 2012 Jul; 31(16):1707-21. PubMed ID: 22344869
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A joint model for longitudinal measurements and survival data in the presence of multiple failure types.
    Elashoff RM; Li G; Li N
    Biometrics; 2008 Sep; 64(3):762-771. PubMed ID: 18162112
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Joint modeling of survival and longitudinal data: likelihood approach revisited.
    Hsieh F; Tseng YK; Wang JL
    Biometrics; 2006 Dec; 62(4):1037-43. PubMed ID: 17156277
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trial.
    Li N; Elashoff RM; Li G; Saver J
    Stat Med; 2010 Feb; 29(5):546-57. PubMed ID: 19943331
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling.
    Farcomeni A; Viviani S
    Stat Med; 2015 Mar; 34(7):1199-213. PubMed ID: 25488110
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data.
    Tang AM; Tang NS
    Stat Med; 2015 Feb; 34(5):824-43. PubMed ID: 25404574
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An approach to joint analysis of longitudinal measurements and competing risks failure time data.
    Elashoff RM; Li G; Li N
    Stat Med; 2007 Jun; 26(14):2813-35. PubMed ID: 17124698
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data.
    Ding J; Wang JL
    Biometrics; 2008 Jun; 64(2):546-56. PubMed ID: 17888040
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Latent-variable models for longitudinal data with bivariate ordinal outcomes.
    Todem D; Kim K; Lesaffre E
    Stat Med; 2007 Feb; 26(5):1034-54. PubMed ID: 16832841
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian nonparametric mixed-effects joint model for longitudinal-competing risks data analysis in presence of multiple data features.
    Lu T
    Stat Methods Med Res; 2017 Oct; 26(5):2407-2423. PubMed ID: 26265770
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust joint modeling of longitudinal measurements and competing risks failure time data.
    Li N; Elashoff RM; Li G
    Biom J; 2009 Feb; 51(1):19-30. PubMed ID: 19197956
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Joint analysis of longitudinal data with informative right censoring.
    Liu M; Ying Z
    Biometrics; 2007 Jun; 63(2):363-71. PubMed ID: 17425632
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semi-parametric modelling of the distribution of the baseline risk in meta-analysis.
    Ghidey W; Lesaffre E; Stijnen T
    Stat Med; 2007 Dec; 26(30):5434-44. PubMed ID: 17893888
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semiparametric approaches for joint modeling of longitudinal and survival data with time-varying coefficients.
    Song X; Wang CY
    Biometrics; 2008 Jun; 64(2):557-66. PubMed ID: 17725812
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Influence analysis for skew-normal semiparametric joint models of multivariate longitudinal and multivariate survival data.
    Tang AM; Tang NS; Zhu H
    Stat Med; 2017 Apr; 36(9):1476-1490. PubMed ID: 28070895
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Scleroderma lung disease: "if you don't know where you are going, any road will take you there".
    Strange C; Seibold JR
    Am J Respir Crit Care Med; 2008 Jun; 177(11):1178-9. PubMed ID: 18487619
    [No Abstract]   [Full Text] [Related]  

  • 17. A joint model for survival and longitudinal data measured with error.
    Wulfsohn MS; Tsiatis AA
    Biometrics; 1997 Mar; 53(1):330-9. PubMed ID: 9147598
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Longitudinal data analysis with non-ignorable missing data.
    Tseng CH; Elashoff R; Li N; Li G
    Stat Methods Med Res; 2016 Feb; 25(1):205-20. PubMed ID: 22637472
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables.
    Lin H; McCulloch CE; Mayne ST
    Stat Med; 2002 Aug; 21(16):2369-82. PubMed ID: 12210621
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Robustness of a parametric model for informatively censored bivariate longitudinal data under misspecification of its distributional assumptions: A simulation study.
    Pantazis N; Touloumi G
    Stat Med; 2007 Dec; 26(30):5473-85. PubMed ID: 18058854
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.