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 *

174 related articles for article (PubMed ID: 23114547)

  • 1. An overview on standard statistical methods for assessing exposure-outcome link in survival analysis (Part II): the Kaplan-Meier analysis and the Cox regression method.
    Abd ElHafeez S; Torino C; D'Arrigo G; Bolignano D; Provenzano F; Mattace-Raso F; Zoccali C; Tripepi G
    Aging Clin Exp Res; 2012 Jun; 24(3):203-6. PubMed ID: 23114547
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessment of gastric cancer survival: using an artificial hierarchical neural network.
    Amiri Z; Mohammad K; Mahmoudi M; Zeraati H; Fotouhi A
    Pak J Biol Sci; 2008 Apr; 11(8):1076-84. PubMed ID: 18819544
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Survival analysis and Cox regression.
    Benítez-Parejo N; Rodríguez del Águila MM; Pérez-Vicente S
    Allergol Immunopathol (Madr); 2011; 39(6):362-73. PubMed ID: 22014655
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bias and precision of methods for estimating the difference in restricted mean survival time from an individual patient data meta-analysis.
    Lueza B; Rotolo F; Bonastre J; Pignon JP; Michiels S
    BMC Med Res Methodol; 2016 Mar; 16():37. PubMed ID: 27025706
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Assessing the effect of a partly unobserved, exogenous, binary time-dependent covariate on survival probabilities using generalised pseudo-values.
    Pötschger U; Heinzl H; Valsecchi MG; Mittlböck M
    BMC Med Res Methodol; 2018 Jan; 18(1):14. PubMed ID: 29351735
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Survival analysis of time-to-event data in respiratory health research studies.
    Kasza J; Wraith D; Lamb K; Wolfe R
    Respirology; 2014 May; 19(4):483-92. PubMed ID: 24689901
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Statistical hypothesis testing: associating patient characteristics with an incident condition: Kaplan-Meier curves, hazard ratios, and cox proportional hazards regression.
    Telke SE; Eberly LE
    J Wound Ostomy Continence Nurs; 2011; 38(6):621-6. PubMed ID: 22101796
    [No Abstract]   [Full Text] [Related]  

  • 8. [Clinical research XXI. From the clinical judgment to survival analysis].
    Rivas-Ruiz R; Pérez-Rodríguez M; Palacios L; Talavera JO
    Rev Med Inst Mex Seguro Soc; 2014; 52(3):308-15. PubMed ID: 24878091
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Worth the weight: using inverse probability weighted Cox models in AIDS research.
    Buchanan AL; Hudgens MG; Cole SR; Lau B; Adimora AA;
    AIDS Res Hum Retroviruses; 2014 Dec; 30(12):1170-7. PubMed ID: 25183195
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Kaplan-Meier curves for survivor causal effects with time-to-event outcomes.
    Chiba Y
    Clin Trials; 2013 Aug; 10(4):515-21. PubMed ID: 23610455
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating Additive Interaction Using Survival Percentiles.
    Bellavia A; Bottai M; Orsini N
    Epidemiology; 2016 May; 27(3):360-4. PubMed ID: 26829157
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Adjusted Survival Curves Improve Understanding of Multivariable Cox Model Results.
    Lundgreen CS; Larson DR; Atkinson EJ; Devick KL; Lewallen DG; Berry DJ; Maradit Kremers H; Crowson CS
    J Arthroplasty; 2021 Oct; 36(10):3367-3371. PubMed ID: 34565525
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment.
    Zhao Y; Saville BR; Zhou H; Koch GG
    J Biopharm Stat; 2016; 26(2):269-79. PubMed ID: 25635808
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Survival analysis: A primer for the clinician scientists.
    Rai S; Mishra P; Ghoshal UC
    Indian J Gastroenterol; 2021 Oct; 40(5):541-549. PubMed ID: 35006489
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Review of case-mix corrected survival curves.
    MacKenzie TA; Brown JR; Likosky DS; Wu Y; Grunkemeier GL
    Ann Thorac Surg; 2012 May; 93(5):1416-25. PubMed ID: 22541174
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A censored quantile regression approach for the analysis of time to event data.
    Xue X; Xie X; Strickler HD
    Stat Methods Med Res; 2018 Mar; 27(3):955-965. PubMed ID: 27166408
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adjusting survival curves for confounders: a review and a new method.
    Nieto FJ; Coresh J
    Am J Epidemiol; 1996 May; 143(10):1059-68. PubMed ID: 8629613
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Analysis of Survival Time and Other Event Times - What Does the Surgeon Need to Know?].
    Kropf S; Meyer F; Glimm E
    Zentralbl Chir; 2016 Aug; 141(4):383-9. PubMed ID: 25333520
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Introduction to the Analysis of Survival Data in the Presence of Competing Risks.
    Austin PC; Lee DS; Fine JP
    Circulation; 2016 Feb; 133(6):601-9. PubMed ID: 26858290
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cumulative incidence in competing risks data and competing risks regression analysis.
    Kim HT
    Clin Cancer Res; 2007 Jan; 13(2 Pt 1):559-65. PubMed ID: 17255278
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.