The GENMOD procedure is used to fit generalized linear models, which extend traditional linear models to allow for non-normal response distributions (like Poisson or Binomial) and non-linear link functions.
/* Use PROC REPORT for custom formatting of the estimates */ proc report data=my_estimates; column Variable Level Estimate StdErr ChiSq ProbChiSq; define Variable / "Predictor"; define Estimate / "Estimate" format=8.4; run; genmod work
While traditional statistical software can find correlations, Genmod is specifically designed to handle the complex dependencies found in family data. It understands that family members share genes and environments, ensuring that statistical models remain mathematically sound. The GENMOD procedure is used to fit generalized
Use scale(x2) for overdispersion in count models: define Variable / "Predictor"
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