BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 35637431)

  • 1. Estimating risk ratio from any standard epidemiological design by doubling the cases.
    Ning Y; Lam A; Reilly M
    BMC Med Res Methodol; 2022 May; 22(1):157. PubMed ID: 35637431
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Down with odds ratios: risk ratios in cohort studies and randomised clinical trials].
    Knol MJ
    Ned Tijdschr Geneeskd; 2012; 156(28):A4775. PubMed ID: 22805792
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Selection of statistical methods for estimating the association between exposure factors and rare outcomes based on cohort studies].
    Liu XH; Wang C; Yan RH; Peng XX; Yin CH
    Zhonghua Liu Xing Bing Xue Za Zhi; 2023 Jul; 44(7):1126-1132. PubMed ID: 37482717
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Negative log-binomial model with optimal robust variance to estimate the prevalence ratio, in cross-sectional population studies.
    Ibáñez-Pinilla M; Villalba-Niño S; Olaya-Galán NN
    BMC Med Res Methodol; 2023 Oct; 23(1):219. PubMed ID: 37794385
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio.
    Barros AJ; Hirakata VN
    BMC Med Res Methodol; 2003 Oct; 3():21. PubMed ID: 14567763
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Investigating the Source of a Disease Outbreak Based on Risk Estimation: A Simulation Study Comparing Risk Estimates Obtained From Logistic and Poisson Regression Applied to a Dichotomous Outcome.
    Rojanaworarit C; Wong JJ
    Ochsner J; 2019; 19(3):220-226. PubMed ID: 31528132
    [No Abstract]   [Full Text] [Related]  

  • 7. Obtaining adjusted prevalence ratios from logistic regression models in cross-sectional studies.
    Bastos LS; Oliveira Rde V; Velasque Lde S
    Cad Saude Publica; 2015 Mar; 31(3):487-95. PubMed ID: 25859716
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Odds Ratio: review about the meaning of an epidemiological measure].
    Aguiar P; Nunes B
    Acta Med Port; 2013; 26(5):505-10. PubMed ID: 24192088
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Standardized binomial models for risk or prevalence ratios and differences.
    Richardson DB; Kinlaw AC; MacLehose RF; Cole SR
    Int J Epidemiol; 2015 Oct; 44(5):1660-72. PubMed ID: 26228585
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimating the incidence rate ratio in cross-sectional studies using a simple alternative to logistic regression.
    Martuzzi M; Elliott P
    Ann Epidemiol; 1998 Jan; 8(1):52-5. PubMed ID: 9465994
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of two methods for estimating prevalence ratios.
    Petersen MR; Deddens JA
    BMC Med Res Methodol; 2008 Feb; 8():9. PubMed ID: 18307814
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A simple method for estimating relative risk using logistic regression.
    Diaz-Quijano FA
    BMC Med Res Methodol; 2012 Feb; 12():14. PubMed ID: 22335836
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian models as a unified approach to estimate relative risk (or prevalence ratio) in binary and polytomous outcomes.
    Torman VB; Camey SA
    Emerg Themes Epidemiol; 2015; 12():8. PubMed ID: 26097494
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Risk Ratio and Risk Difference Estimation in Case-cohort Studies.
    Noma H; Misumi M; Tanaka S
    J Epidemiol; 2023 Oct; 33(10):508-513. PubMed ID: 35753802
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Different methods to calculate effect estimates in cross-sectional studies. A comparison between prevalence odds ratio and prevalence ratio.
    Behrens T; Taeger D; Wellmann J; Keil U
    Methods Inf Med; 2004; 43(5):505-9. PubMed ID: 15702210
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Almost efficient estimation of relative risk regression.
    Fitzmaurice GM; Lipsitz SR; Arriaga A; Sinha D; Greenberg C; Gawande AA
    Biostatistics; 2014 Oct; 15(4):745-56. PubMed ID: 24705141
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Methods for estimating prevalence ratios in cross-sectional studies.
    Coutinho LM; Scazufca M; Menezes PR
    Rev Saude Publica; 2008 Dec; 42(6):992-8. PubMed ID: 19009156
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reflection on modern methods: risk ratio regression-simple concept yet complex computation.
    Mittinty MN; Lynch J
    Int J Epidemiol; 2023 Feb; 52(1):309-314. PubMed ID: 36416437
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Risk Ratio Estimation in Longitudinal Studies.
    Talebi SS; Mohammad K; Rasekhi A; Mansournia MA
    Arch Iran Med; 2019 Jan; 22(1):46-49. PubMed ID: 30821160
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of binary outcomes in longitudinal studies using weighted estimating equations and discrete-time survival methods: prevalence and incidence of smoking in an adolescent cohort.
    Carlin JB; Wolfe R; Coffey C; Patton GC
    Stat Med; 1999 Oct; 18(19):2655-79. PubMed ID: 10495463
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.