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 *

172 related articles for article (PubMed ID: 29056033)

  • 1. A comparison of breast cancer survival among young, middle-aged, and elderly patients in southern Iran using Cox and empirical Bayesian additive hazard models.
    Nematolahi S; Ayatollahi SMT
    Epidemiol Health; 2017; 39():e2017043. PubMed ID: 29056033
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prognostic Factors of Breast Cancer Survival in the Islamic Republic of Iran: an Additive Empirical Bayesian Approach.
    Nematolahi S; Rezaianzadeh A; Zare N; Akrami M; Tahmasebi S
    East Mediterr Health J; 2018 Jan; 23(11):721-728. PubMed ID: 29319143
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Survival Prognostic Factors of Male Breast Cancer in Southern Iran: a LASSO-Cox Regression Approach.
    Shahraki HR; Salehi A; Zare N
    Asian Pac J Cancer Prev; 2015; 16(15):6773-7. PubMed ID: 26434910
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Survival analysis of breast cancer patients using Cox and frailty models.
    Faradmal J; Talebi A; Rezaianzadeh A; Mahjub H
    J Res Health Sci; 2012 Dec; 12(2):127-30. PubMed ID: 23241526
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Five year survival of women with breast cancer in Ardabil, north-west of Iran.
    Fouladi N; Amani F; Harghi AS; Nayebyazdi N
    Asian Pac J Cancer Prev; 2011; 12(7):1799-801. PubMed ID: 22126568
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling of breast cancer prognostic factors using a parametric log-logistic model in Fars province, Southern Iran.
    Zare N; Doostfatemeh M; Rezaianzadeh A
    Asian Pac J Cancer Prev; 2012; 13(4):1533-7. PubMed ID: 22799361
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of Cox and Parametric Survival Models to Assess Social Determinants of Health Affecting Three-Year Survival of Breast Cancer Patients.
    Mohseny M; Amanpour F; Mosavi-Jarrahi A; Jafari H; Moradi-Joo M; Davoudi Monfared E
    Asian Pac J Cancer Prev; 2016; 17(S3):311-6. PubMed ID: 27165244
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of accelerated failure time models for breast cancer patients' survival in Kurdistan Province of Iran.
    Karimi A; Delpisheh A; Sayehmiri K
    J Cancer Res Ther; 2016; 12(3):1184-1188. PubMed ID: 28054533
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Survival analysis of 1148 women diagnosed with breast cancer in Southern Iran.
    Rezaianzadeh A; Peacock J; Reidpath D; Talei A; Hosseini SV; Mehrabani D
    BMC Cancer; 2009 Jun; 9():168. PubMed ID: 19497131
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of Weibull and Lognormal Cure Models with Cox in the Survival Analysis Of Breast Cancer Patients in Rafsanjan.
    Hoseini M; Bahrampour A; Mirzaee M
    J Res Health Sci; 2017 Feb; 17(1):e00369. PubMed ID: 28413171
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prognostic factors in gastric cancer using log-normal censored regression model.
    Pourhoseingholi MA; Moghimi-Dehkordi B; Safaee A; Hajizadeh E; Solhpour A; Zali MR
    Indian J Med Res; 2009 Mar; 129(3):262-7. PubMed ID: 19491418
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Breast Cancer Survival Analysis Based on Immunohistochemistry Subtypes (ER/PR/HER2): a Retrospective Cohort Study.
    Poorolajal J; Nafissi N; Akbari ME; Mahjub H; Esmailnasab N; Babaee E
    Arch Iran Med; 2016 Oct; 19(10):680-686. PubMed ID: 27743431
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effect of Age on Breast Cancer Patient Prognoses: A Population-Based Study Using the SEER 18 Database.
    Chen HL; Zhou MQ; Tian W; Meng KX; He HF
    PLoS One; 2016; 11(10):e0165409. PubMed ID: 27798652
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of a new predictive model for breast cancer survival in New Zealand and comparison to the Nottingham prognostic index.
    Elwood JM; Tawfiq E; TinTin S; Marshall RJ; Phung TM; Campbell I; Harvey V; Lawrenson R
    BMC Cancer; 2018 Sep; 18(1):897. PubMed ID: 30223800
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multivariate analysis of prognostic factors in gastric cancer patients using additive hazards regression models.
    Maroufizadeh S; Hajizadeh E; Baghestani AR; Fatemi SR
    Asian Pac J Cancer Prev; 2011; 12(7):1697-702. PubMed ID: 22126547
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multivariate analysis of prognostic factors in gastric cancer patients using additive hazards regression models.
    Maroufizadeh S; Hajizadeh E; Baghestani AR; Fatemi SR
    Asian Pac J Cancer Prev; 2011; 12(4):901-7. PubMed ID: 21790223
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Breast cancer in Iran: a survival analysis.
    Vahdaninia M; Montazeri A
    Asian Pac J Cancer Prev; 2004; 5(2):223-5. PubMed ID: 15244529
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparison of breast cancer survival across different age groups: a multicentric database study in Penang, Malaysia.
    Tan KF; Adam F; Hussin H; Mohd Mujar NM
    Epidemiol Health; 2021; 43():e2021038. PubMed ID: 34044478
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Statistical comparison of survival models for analysis of cancer data.
    Moghimi-Dehkordi B; Safaee A; Pourhoseingholi MA; Fatemi R; Tabeie Z; Zali MR
    Asian Pac J Cancer Prev; 2008; 9(3):417-20. PubMed ID: 18990013
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.