Sas version 9.4 survey procedures

Manufactured by SAS Institute

SAS version 9.4 survey procedures is a software tool that provides statistical analysis and modeling capabilities for survey data. It offers features for handling complex survey designs, including stratification, clustering, and weighting. The procedures support a range of survey data types and can be used to estimate population parameters, test hypotheses, and generate survey reports. The tool is designed to help researchers and analysts gain insights from survey data while maintaining the integrity of the survey design.

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3 protocols using sas version 9.4 survey procedures

Logistic Regression Analysis of E-Cigarette Use

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We used χ² tests and analysis of variance (ANOVA) tests to test bivariate associations among independent variables and e-cigarette use. We then conducted 4 multivariate logistic regressions, estimating the odds of being susceptible to using e-cigarettes versus not being susceptible (the referent group) (model A), the odds of being an ever e-cigarette user versus being susceptible to using e-cigarettes (the referent group) (model B), the odds of being a current e-cigarette user versus being susceptible to using e-cigarettes (the referent group) (model C), and the odds of being a current e-cigarette user versus ever using e-cigarettes (the referent group) (model D). We tabulated weighted percentages, adjusted odds ratios (AORs), and 95% confidence intervals (CIs). Analyses used SAS version 9.4 survey procedures (SAS Institute Inc). We set an α of .05 and used 2-tailed tests.

Kowitt S.D., Osman A., Ranney L.M., Heck C, & Goldstein A.O. (2018). E-Cigarette Use Among Adolescents Not Susceptible to Using Cigarettes. Preventing Chronic Disease, 15, E18.

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Weighted National Survey Analysis Protocol

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The study cohort was described with/without survey weights. Survey results were weighted to approximately adjust to the overall United States population, as recommended by the HINTS. To ensure valid inferences, replicate weight and variance estimation methods were used, according to the HINTS protocol, accounting for clustering of subjects, and nonresponse/noncoverage biases. Rates of invitation, participation, motivators and barriers were presented as frequencies and percentages, stratified by social determinants. Due to limited sample size, variables were selected based on univariate analysis with the outcome, substantive interests, and/or an a priori conceptual model. SAS version 9.4 survey procedures (SAS Institute) designed for large surveys, yielding nationally representative estimates was utilized for data analysis.

Feuer Z., Matulewicz R.S., Basak R., Culton D.A., Weaver K., Gallagher K., Tan H.J., Rose T.L., Milowsky M, & Bjurlin M.A. (2022). Non-oncology clinical trial engagement in a nationally representative sample: Identification of motivators and barriers. Contemporary clinical trials, 115, 106715.

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Breast Density Awareness Among Latina Respondents

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The study cohort consisted of Latina respondents who completed the survey items regarding breast density awareness and knowledge (N=1327 AZ, N=152 NS). Rao-Scott chi-square tests were used to assess whether demographic characteristics of the AZ cohort differed significantly from the NS cohort. For each of the 3 primary outcomes of interest, logistic regression modeling was used to assess whether they differed significantly between the AZ and NS cohorts (exposures). These analyses were repeated for the subset of women who came from states where breast density notification legislation was in place at the time of the surveys. Analyses were performed with SAS version 9.4 SURVEY procedures (SAS Institute Inc., Cary, NC). P-values less than 0.05 were considered statistically significant.

Patel B.K., Ridgeway J.L., Jenkins S., Rhodes D.J., Ghosh K., Borah B., Suman V., Norman A., Leaver J., Jewett M., Hruska C., Gonzalez C., Singh D., Vachon C.M, & Breitkopf C.R. (2022). Breast density knowledge and awareness among Latinas in a low-resource setting. Journal of the American College of Radiology : JACR, 19(1 Pt B), 155-161.

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