While both Genmod and traditional linear regression aim to model relationships between variables, Genmod is a more general framework. Traditional linear regression is actually a special case of Genmod where the random component is the Normal distribution and the link function is the Identity link.
Specifying the Likelihood Function: This function represents the probability of observing the given data, given the model parameters (the coefficients). genmod work
Direct Interpretation: The link function allows for meaningful interpretation of the coefficients in terms of the original scale of the response variable. Common Applications of Genmod Genmod finds extensive use across various fields: While both Genmod and traditional linear regression aim