157 related articles for article (PubMed ID: 35637431)
21. 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]
22. Adjustment for regression dilution in epidemiological regression analyses.
Knuiman MW; Divitini ML; Buzas JS; Fitzgerald PE
Ann Epidemiol; 1998 Jan; 8(1):56-63. PubMed ID: 9465995
[TBL] [Abstract][Full Text] [Related]
23. What's the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes.
Robbins AS; Chao SY; Fonseca VP
Ann Epidemiol; 2002 Oct; 12(7):452-4. PubMed ID: 12377421
[TBL] [Abstract][Full Text] [Related]
24. What's the Risk? A simple approach for estimating adjusted risk measures from nonlinear models including logistic regression.
Kleinman LC; Norton EC
Health Serv Res; 2009 Feb; 44(1):288-302. PubMed ID: 18793213
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study.
Brunekreef B; Beelen R; Hoek G; Schouten L; Bausch-Goldbohm S; Fischer P; Armstrong B; Hughes E; Jerrett M; van den Brandt P
Res Rep Health Eff Inst; 2009 Mar; (139):5-71; discussion 73-89. PubMed ID: 19554969
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Estimating the relative risk in cohort studies and clinical trials of common outcomes.
McNutt LA; Wu C; Xue X; Hafner JP
Am J Epidemiol; 2003 May; 157(10):940-3. PubMed ID: 12746247
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Technical note: The risk ratio, an alternative to the odds ratio for estimating the association between multiple risk factors and a dichotomous outcome.
Ospina PA; Nydam DV; DiCiccio TJ
J Dairy Sci; 2012 May; 95(5):2576-84. PubMed ID: 22541486
[TBL] [Abstract][Full Text] [Related]
31. Reducing Monte Carlo error in the Bayesian estimation of risk ratios using log-binomial regression models.
Salmerón D; Cano JA; Chirlaque MD
Stat Med; 2015 Aug; 34(19):2755-67. PubMed ID: 25944082
[TBL] [Abstract][Full Text] [Related]
32. A practical guide for multivariate analysis of dichotomous outcomes.
Lee J; Tan CS; Chia KS
Ann Acad Med Singap; 2009 Aug; 38(8):714-9. PubMed ID: 19736577
[TBL] [Abstract][Full Text] [Related]
33. The effect of exposure to long working hours on stroke: A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury.
Descatha A; Sembajwe G; Pega F; Ujita Y; Baer M; Boccuni F; Di Tecco C; Duret C; Evanoff BA; Gagliardi D; Godderis L; Kang SK; Kim BJ; Li J; Magnusson Hanson LL; Marinaccio A; Ozguler A; Pachito D; Pell J; Pico F; Ronchetti M; Roquelaure Y; Rugulies R; Schouteden M; Siegrist J; Tsutsumi A; Iavicoli S
Environ Int; 2020 Sep; 142():105746. PubMed ID: 32505015
[TBL] [Abstract][Full Text] [Related]
34. Fruit and vegetable consumption and risk of depression: accumulative evidence from an updated systematic review and meta-analysis of epidemiological studies.
Saghafian F; Malmir H; Saneei P; Milajerdi A; Larijani B; Esmaillzadeh A
Br J Nutr; 2018 May; 119(10):1087-1101. PubMed ID: 29759102
[TBL] [Abstract][Full Text] [Related]
35. [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]
36. Prevalence proportion ratios: estimation and hypothesis testing.
Skov T; Deddens J; Petersen MR; Endahl L
Int J Epidemiol; 1998 Feb; 27(1):91-5. PubMed ID: 9563700
[TBL] [Abstract][Full Text] [Related]
37. On modelling relative risks for longitudinal binomial responses: implications from two dueling paradigms.
Lin T; Zhao R; Tu S; Wu H; Zhang H; Tu XM
Gen Psychiatr; 2023; 36(2):e100977. PubMed ID: 36919082
[TBL] [Abstract][Full Text] [Related]
38. On a closed-form doubly robust estimator of the adjusted odds ratio for a binary exposure.
Tchetgen Tchetgen EJ
Am J Epidemiol; 2013 Jun; 177(11):1314-6. PubMed ID: 23558352
[TBL] [Abstract][Full Text] [Related]
39. Model-based estimation of the attributable risk in case-control and cohort studies.
Cox C
Stat Methods Med Res; 2006 Dec; 15(6):611-25. PubMed ID: 17260927
[TBL] [Abstract][Full Text] [Related]
40. Statistical methods of estimating fracture risk.
Wendlová J
Wien Med Wochenschr; 2006 Nov; 156(21-22):569-73. PubMed ID: 17160373
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
