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 *

286 related articles for article (PubMed ID: 1480879)

  • 21. Effects of Proportional Hazard Assumption on Variable Selection Methods for Censored Data.
    Sheng A; Ghosh SK
    Stat Biopharm Res; 2020; 12(2):199-209. PubMed ID: 34040695
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Parametric models for accelerated and long-term survival: a comment on proportional hazards.
    Frankel P; Longmate J
    Stat Med; 2002 Nov; 21(21):3279-89. PubMed ID: 12375304
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Effect of covariate omission in Weibull accelerated failure time model: a caution.
    Gosho M; Maruo K; Sato Y
    Biom J; 2014 Nov; 56(6):991-1000. PubMed ID: 24895154
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Novel head and neck cancer survival analysis approach: random survival forests versus Cox proportional hazards regression.
    Datema FR; Moya A; Krause P; Bäck T; Willmes L; Langeveld T; Baatenburg de Jong RJ; Blom HM
    Head Neck; 2012 Jan; 34(1):50-8. PubMed ID: 21322080
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Semiparametric Bayesian analysis of censored linear regression with errors-in-covariates.
    Sinha S; Wang S
    Stat Methods Med Res; 2017 Jun; 26(3):1389-1415. PubMed ID: 25882297
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Spatial extended hazard model with application to prostate cancer survival.
    Li L; Hanson T; Zhang J
    Biometrics; 2015 Jun; 71(2):313-22. PubMed ID: 25521422
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Regression analysis of doubly censored failure time data using the additive hazards model.
    Sun L; Kim YJ; Sun J
    Biometrics; 2004 Sep; 60(3):637-43. PubMed ID: 15339285
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization.
    Liang Y; Chai H; Liu XY; Xu ZB; Zhang H; Leung KS
    BMC Med Genomics; 2016 Mar; 9():11. PubMed ID: 26932592
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Comparison of hypertabastic survival model with other unimodal hazard rate functions using a goodness-of-fit test.
    Tahir MR; Tran QX; Nikulin MS
    Stat Med; 2017 May; 36(12):1936-1945. PubMed ID: 28173610
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Maximum likelihood estimation for interval-censored data using a Weibull-based accelerated failure time model.
    Odell PM; Anderson KM; D'Agostino RB
    Biometrics; 1992 Sep; 48(3):951-9. PubMed ID: 1420849
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Analysis of error-prone survival data under additive hazards models: measurement error effects and adjustments.
    Yan Y; Yi GY
    Lifetime Data Anal; 2016 Jul; 22(3):321-42. PubMed ID: 26328545
    [TBL] [Abstract][Full Text] [Related]  

  • 33. On robustness and model flexibility in survival analysis: transformed hazard models and average effects.
    Gustafson P
    Biometrics; 2007 Mar; 63(1):69-77. PubMed ID: 17447931
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Case-sibling gene-association studies for diseases with variable age at onset.
    Kraft P; Thomas DC
    Stat Med; 2004 Dec; 23(23):3697-712. PubMed ID: 15534888
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Comparison between Accelerated Failure-time and Cox Proportional Hazard Models in Analyzing the Survival of Gastric Cancer Patients.
    Zare A; Hosseini M; Mahmoodi M; Mohammad K; Zeraati H; Holakouie Naieni K
    Iran J Public Health; 2015 Aug; 44(8):1095-102. PubMed ID: 26587473
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Checking the linear transformation model for clustered failure time observations.
    Hattori S
    Lifetime Data Anal; 2008 Sep; 14(3):253-66. PubMed ID: 18240021
    [TBL] [Abstract][Full Text] [Related]  

  • 37. On the estimators and tests for the semiparametric hazards regression model.
    Lee SH
    Lifetime Data Anal; 2016 Oct; 22(4):531-46. PubMed ID: 26463819
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Mixture cure model with random effects for clustered interval-censored survival data.
    Xiang L; Ma X; Yau KK
    Stat Med; 2011 Apr; 30(9):995-1006. PubMed ID: 21472759
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of Aalen's additive and Cox proportional hazards models for breast cancer survival: analysis of population- based data from British Columbia, Canada.
    Abadi A; Saadat S; Yavari P; Bajdik C; Jalili P
    Asian Pac J Cancer Prev; 2011; 12(11):3113-6. PubMed ID: 22393999
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Landmark cure rate models with time-dependent covariates.
    Shi H; Yin G
    Stat Methods Med Res; 2017 Oct; 26(5):2042-2054. PubMed ID: 28627311
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.