Para profundizar en los diferentes aspectos de los Modelos Lineales que se estudian en esta asignatura se recomiendan las siguientes referencias:

Agresti, A. (2002). Categorical data analysis (2ª ed). New York: Wiley.

Agresti, A. (2007). Introduction to categorical data analysis (2ª ed). New York: Wiley

Bickel, R. (2007). Multilevel analysis for applied research. It’s just regression. New York: The Guilford Press,

Dunteman GH y Ho MHR (2006). An introduction to generalized linear models. Thousand Oaks, CA: Sage.

Gill, J. (2001). Generalized linear models. Thousand Oaks, CA: Sage.

Hosmer, D.W. y Lemeshow, S. (2000). Applied logistic regression (2ª ed.). New York: Wiley.

Hox, J. (2010). Multilevel analysis. Techniques and applications (2ª ed.). Hillsdale: Lawrence Erlbaum Associates.

Jaccard, J. (2001). Interaction effects in logistic regression. Thousand Oaks, CA: Sage.

Kleinbaum ,D.G. y Klein, M. (2002). Logistic regression: A self-learning text. New York: Springer.

Lee ,E.T. (1992). Statistical methods for survival data analysis (2ª ed.). New York: Wiley.

Luke, D.A. (2004). Multilevel modelling. Thousand Oaks, CA: Sage.

McCullagh ,P. y Nelder, J.A. (1989). Generalized linear models (2ª ed.). New York: Chapman and Hall.

Menard, S. (2002). Applied logistic regression analysis (2ª ed.). Thousand Oaks, CA: Sage.

Raudenbush, S.W. y Bryk, A.S. (2002). Hierarchical linear models: Applications and data analysis methods (2ª ed.). Thousand Oaks, CA: Sage.