148 related articles for article (PubMed ID: 26097494)
1. 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]
2. 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]
3. 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]
4. [Evaluation of estimation of prevalence ratio using bayesian log-binomial regression model].
Gao WL; Lin H; Liu XN; Ren XW; Li JS; Shen XP; Zhu SL
Zhonghua Liu Xing Bing Xue Za Zhi; 2017 Mar; 38(3):400-405. PubMed ID: 28329948
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
13. Estimating relative risks for common outcome using PROC NLP.
Yu B; Wang Z
Comput Methods Programs Biomed; 2008 May; 90(2):179-86. PubMed ID: 18291556
[TBL] [Abstract][Full Text] [Related]
14. Comparison of robustness to outliers between robust poisson models and log-binomial models when estimating relative risks for common binary outcomes: a simulation study.
Chen W; Shi J; Qian L; Azen SP
BMC Med Res Methodol; 2014 Jun; 14():82. PubMed ID: 24965498
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Performance of models for estimating absolute risk difference in multicenter trials with binary outcome.
Pedroza C; Truong VT
BMC Med Res Methodol; 2016 Aug; 16(1):113. PubMed ID: 27576307
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. [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]
20. Accurate variance estimation for prevalence ratios.
Wolkewitz M; Bruckner T; Schumacher M
Methods Inf Med; 2007; 46(5):567-71. PubMed ID: 17938780
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
