2019
DOI: 10.12688/f1000research.16866.2
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Carrying out streamlined routine data analyses with reports for observational studies: introduction to a series of generic SAS® macros

Abstract: For a typical medical research project based on observational data, sequential routine analyses are often essential to comprehend the data on hand and to draw valid conclusions.  However, generating reports in SAS® for routine analyses can be a time-consuming and tedious process, especially when dealing with large databases with a massive number of variables in an iterative and collaborative research environment. In this work, we present a general workflow of research based on an observational database and a s… Show more

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Cited by 51 publications
(35 citation statements)
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“…A Cox regression model was carried out to associate the risk group with OS or PFS separately, and the multivariable model controlled for gender, checkpoint indication, number of previous treatments, RMH risk group, age, ECOG PS, race, number of metastatic sites, and histology. All analyses were done in SAS 9.4 and SAS macros developed by Winship Biostatistics and Bioinformatics Shared Resource [22] with significance level set at .05.…”
Section: Discussionmentioning
confidence: 99%
“…A Cox regression model was carried out to associate the risk group with OS or PFS separately, and the multivariable model controlled for gender, checkpoint indication, number of previous treatments, RMH risk group, age, ECOG PS, race, number of metastatic sites, and histology. All analyses were done in SAS 9.4 and SAS macros developed by Winship Biostatistics and Bioinformatics Shared Resource [22] with significance level set at .05.…”
Section: Discussionmentioning
confidence: 99%
“…Statistical analysis was conducted using SAS version 9.4 (SAS Institute, Cary, NC) as well as SAS macros or software developed at the Biostatistics and Bioinformatics at Winship Cancer Institute . Descriptive statistics for each variable were reported.…”
Section: Methodsmentioning
confidence: 99%
“…Kaplan-Meier curves were generated to compare overall survival based on histological subtype. All analyses were done using SAS 9.4 (SAS Institute, Inc., Cary, North Carolina) and SAS macros developed by the Biostatistics and Bioinformatics Shared Resource at Winship Cancer Institute in Atlanta, Georgia 21…”
Section: Methodsmentioning
confidence: 99%