Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

This paper proposes a unifying approach to such analysis for a variety of discrete and continuous outcomes. A class of generalized estimating equations (GEEs) for the regression parameters is proposed ...

Roth, A. E., and M. Sotomayor. "Stable Outcomes in Discrete and Continuous Models of Two-Sided Matching: A Unified Treatment." Revista de econometria 16, no. 2 (November 1996): 1–24.

Helena Geys, Meredith M. Regan, Paul J. Catalano, Geert Molenberghs, Two Latent Variable Risk Assessment Approaches for Mixed Continuous and Discrete Outcomes from Developmental Toxicity Data, Journal ...