Easy SAS calculations for risk or prevalence ratios and differences.
نویسندگان
چکیده
We would like to make the readership aware that risk or prevalence ratios and differences, when they are the parameter of interest, can be directly calculated by using SAS software (SAS Institute, Inc., Cary, North Carolina). There is no longer any good justification for fitting logistic regression models and estimating odds ratios when the odds ratio is not a good approximation of the risk or prevalence ratio. Instead, SAS PROC GENMOD’s log-binomial regression (1) capability can be used for estimation and inference about the parameter of interest. Here is an example of the code required to analyze the breast cancer survival data discussed by Greenland (2):
منابع مشابه
Practice of Epidemiology Estimating Model-Adjusted Risks, Risk Differences, and Risk Ratios From Complex Survey Data
There is increasing interest in estimating and drawing inferences about risk or prevalence ratios and differences instead of odds ratios in the regression setting. Recent publications have shown how the GENMOD procedure in SAS (SAS Institute Inc., Cary, North Carolina) can be used to estimate these parameters in non-population-based studies. In this paper, the authors show how model-adjusted ri...
متن کاملEstimating model-adjusted risks, risk differences, and risk ratios from complex survey data.
There is increasing interest in estimating and drawing inferences about risk or prevalence ratios and differences instead of odds ratios in the regression setting. Recent publications have shown how the GENMOD procedure in SAS (SAS Institute Inc., Cary, North Carolina) can be used to estimate these parameters in non-population-based studies. In this paper, the authors show how model-adjusted ri...
متن کاملRe: "Easy SAS calculations for risk or prevalence ratios and differences".
We applaud Drs. Spiegelman and Hertzmark’s idea of using SAS procedure PROC GENMOD to estimate the risk ratio or difference (1). However, we have reservations about 1) the claim that there is no good justification for fitting the logistic regression and estimating the odds ratio when the odds ratio is not a good approximation of the risk ratio, and 2) using Poisson regression (PROC GENMOD) to e...
متن کاملUrban-Rural Differences in the Prevalence of Self-Reported Diabetes and its Risk Factors: The WHO STEPS Iranian Noncommunicable Disease Risk Factor Surveillance in 2011
AbstractThe high prevalence of diabetes in Iran and other developing countries is chiefly attributed to urbanization. The objectives of the present study were to assess the prevalence of self-reported diabetes and to determine its associated risk factors. This study is a part of the national noncommunicable disease risk factor surveillance, conducted in 31 provinces of Iran in 2011. First, 1006...
متن کاملNondifferential disease misclassification may bias incidence risk ratios away from the null.
BACKGROUND AND OBJECTIVE When estimating incidence risk ratios in follow-up studies, subjects testing positive for the disease at baseline are excluded. Although the effect of disease misclassification on estimated incidence risk ratios has otherwise been extensively explored, the effect of disease misclassification at baseline has not previously been analyzed. STUDY DESIGN AND SETTING The de...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- American journal of epidemiology
دوره 162 3 شماره
صفحات -
تاریخ انتشار 2005