Easy SAS calculations for risk or prevalence ratios and differences.

By Donna Spiegelman, E. Hertzmark. American Journal of Epidemiology, 2005

1,797 citations recorded by the source corpus.

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In Biomedical Engineering

Citations in the corpus

Understanding sequelae of injury mechanisms and mild traumatic brain injury incurred during the conflicts in Iraq and Afghanistan: persistent postconcussive symptoms and posttraumatic stress disorder. (2008, methodology): “Poisson regression multivariate analyses of the associations between exposures and outcomes were conducted to generate adjusted prevalence ratios and their 95 percent confidence intervals (32, 33).”
Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy: A Randomized Clinical Trial (2015, neutral): “The median (quartiles) number of visits was 22 (18, 24) in the ranibizumab group and 16 (9, 22) in the PRP group.”
Evaluation of nonesterified fatty acids and beta-hydroxybutyrate in transition dairy cattle in the northeastern United States: Critical thresholds for prediction of clinical diseases. (2010, methodology): “Risk ratios (RR) were modeled with PROC GENMOD, with a Poisson distribution, a log link function, p-scale option for overdispersion adjustment, and an exchangeable correlation matrix (Spiegelman and Hertzmark, 2005).”
Mental health of transgender youth in care at an adolescent urban community health center: A matched retrospective cohort study (2015, positive): “Risk ratios (RRs) and 95% confidence intervals (CIs) were estimated rather than odds ratios because the prevalence of outcomes was >10% [23].”
Prevalence and Impact of Pain among Older Adults in the United States: Findings from the 2011 National Health and Aging Trends Study (2013, background): “Logistic regression models were not fitted because odds ratios can be overestimated when the study outcomes are common [59].”
Relationship between Vancomycin MIC and Failure among Patients with Methicillin-Resistant Staphylococcus aureus Bacteremia Treated with Vancomycin (2008, methodology): “Due to the large proportion of treatment failures, Poisson regression was used to determine the independent association of the high vancomycin MIC group with failure while adjusting for potential confounding variables (14, 21).”
Extension of the modified Poisson regression model to prospective studies with correlated binary data (2013, methodology): “To improve the convergence and statistical efficiency, one could use the estimate from the modified Poisson model as starting values for binomial regression.(28) However, this approach does not result in maximum likelihood estimates for clustered binary data due to lack of a unique multivariate exte”
Empirical and counterfactual conditions for sufficient cause interactions (2008, methodology): “One might then model the conditional probabilities pr(D = 1jX1; :::; Xm; C) using a binomial or Poisson regression model with a linear link (Greenland, 1991; Wacholder, 1986; Zou, 2004; Greenland, 2004; Spiegelman & Hertzmark, 2005).”
Associations of the local food environment with diet quality--a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. (2008, methodology): “Binomial regression (46) was used to model the probability of having a healthy diet as a function of measures of the local food environment.”
Aflibercept, Bevacizumab, or Ranibizumab for Diabetic Macular Edema: Two-year Results from a Comparative Effectiveness Randomized Clinical Trial (2016, neutral): “10 Vitreous hemorrhage 11 (8) 12 (9) 9 (7) 0.”