136 related articles for article (PubMed ID: 24627010)
1. Bias of using odds ratio estimates in multinomial logistic regressions to estimate relative risk or prevalence ratio and alternatives.
Camey SA; Torman VB; Hirakata VN; Cortes RX; Vigo A
Cad Saude Publica; 2014 Jan; 30(1):21-9. PubMed ID: 24627010
[TBL] [Abstract][Full Text] [Related]
2. The log multinomial regression model for nominal outcomes with more than two attributes.
Blizzard L; Hosmer DW
Biom J; 2007 Dec; 49(6):889-902. PubMed ID: 17849384
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Odds Ratio or Prevalence Ratio? An Overview of Reported Statistical Methods and Appropriateness of Interpretations in Cross-sectional Studies with Dichotomous Outcomes in Veterinary Medicine.
Martinez BAF; Leotti VB; Silva GSE; Nunes LN; Machado G; Corbellini LG
Front Vet Sci; 2017; 4():193. PubMed ID: 29177157
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. 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]
10. Estimation of relative risk and prevalence ratio.
Savu A; Liu Q; Yasui Y
Stat Med; 2010 Sep; 29(22):2269-81. PubMed ID: 20564738
[TBL] [Abstract][Full Text] [Related]
11. Odds ratios from logistic, geometric, Poisson, and negative binomial regression models.
Sroka CJ; Nagaraja HN
BMC Med Res Methodol; 2018 Oct; 18(1):112. PubMed ID: 30342488
[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. 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]
14. [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]
15. Statistical Issues in Estimation of Adjusted Risk Ratio in Prospective Studies.
Janani L; Mansournia MA; Nourijeylani K; Mahmoodi M; Mohammad K
Arch Iran Med; 2015 Oct; 18(10):713-9. PubMed ID: 26443254
[TBL] [Abstract][Full Text] [Related]
16. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error.
Rosner B; Willett WC; Spiegelman D
Stat Med; 1989 Sep; 8(9):1051-69; discussion 1071-3. PubMed ID: 2799131
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. [Logistic regression vs other generalized linear models to estimate prevalence rate ratios].
Traissac P; Martin-Prével Y; Delpeuch F; Maire B
Rev Epidemiol Sante Publique; 1999 Dec; 47(6):593-604. PubMed ID: 10673593
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Estimating relative risk of disease from outputs of logistic regression when the disease is not rare.
Beaudeau F; Fourichon C
Prev Vet Med; 1998 Oct; 36(4):243-56. PubMed ID: 9820886
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
