SAS Institute's scientific contributions
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It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
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Citations
... The data were analysed by simple linear regression utilizing PROC REG. In addition, the PROC CORR statements were used to perform a Pearson correlation (R) analysis (SAS, 2006). ...
... The data obtained from the measurements of performance, enzymes, and morphology in the different treatments were statistically analyzed using the GLM procedures of SAS software [36] via one-way analysis ANOVA for a completely randomized design. Means were analyzed using Duncan's multiple range test and treatments, with statistical significance being based on p < 0.05. ...
