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Sas enterprise statistical software version 9

Manufactured by SAS Institute
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SAS Enterprise statistical software version 9.4 is a comprehensive data analysis and statistical modeling tool. It provides a range of functionalities for data management, statistical analysis, and reporting. The software is designed to handle large and complex datasets, allowing users to perform a variety of statistical procedures, including regression, ANOVA, and time series analysis.

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R statistical software version 3, by R Project for Statistical Computing (2 mentions)

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2 protocols using sas enterprise statistical software version 9

1

Sensitivity Analysis for HF Subcohort

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To make the questionnaire respondents more representative of the overall HF subcohort (eTable 2 in the Supplement) and to address potential survival bias, we performed sensitivity analysis using inverse probability of inclusion weights24 (link) based on a logistic model for the association of baseline WHI covariates with inclusion in the questionnaire sample. We assessed modification of the associations of APOs with HF by race and ethnicity, age, BMI, hypertension, diabetes, CHD, history of breastfeeding, and by other APOs. Finally, we did a sensitivity analysis excluding women with CHD.
We considered 2-sided P < .05 to be statistically significant. Analyses were performed using R statistical software version 3.5.1 (R Project for Statistical Computing) and SAS Enterprise statistical software version 9.4 (SAS Institute). Data analysis was performed from January 2020 to September 2021.
Hansen A.L., Søndergaard M.M., Hlatky M.A., Vittinghof E., Nah G., Stefanick M.L., Manson J.E., Farland L.V., Wells G.L., Mongraw-Chaffin M., Gunderson E.P., Van Horn L., Wild R.A., Liu B., Shadyab A.H., Allison M.A., Liu S., Eaton C.B., Honigberg M.C, & Parikh N.I. (2021). Adverse Pregnancy Outcomes and Incident Heart Failure in the Women’s Health Initiative. JAMA Network Open, 4(12), e2138071.
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2

Sensitivity Analysis for Heart Failure Risk

Check if the same lab product or an alternative is used in the 5 most similar protocols
To make the questionnaire respondents more representative of the overall HF subcohort (eTable 2 in the Supplement) and to address potential survival bias, we performed sensitivity analysis using inverse probability of inclusion weights24 (link) based on a logistic model for the association of baseline WHI covariates with inclusion in the questionnaire sample. We assessed modification of the associations of APOs with HF by race and ethnicity, age, BMI, hypertension, diabetes, CHD, history of breastfeeding, and by other APOs. Finally, we did a sensitivity analysis excluding women with CHD.
We considered 2-sided P < .05 to be statistically significant. Analyses were performed using R statistical software version 3.5.1 (R Project for Statistical Computing) and SAS Enterprise statistical software version 9.4 (SAS Institute). Data analysis was performed from January 2020 to September 2021.
Hansen A.L., Søndergaard M.M., Hlatky M.A., Vittinghof E., Nah G., Stefanick M.L., Manson J.E., Farland L.V., Wells G.L., Mongraw-Chaffin M., Gunderson E.P., Van Horn L., Wild R.A., Liu B., Shadyab A.H., Allison M.A., Liu S., Eaton C.B., Honigberg M.C, & Parikh N.I. (2021). Adverse Pregnancy Outcomes and Incident Heart Failure in the Women’s Health Initiative. JAMA Network Open, 4(12), e2138071.
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