stAtliNk

Logit Models for Binary Data by G.Rodriguez -50 pages-

R (and S-PLUS) Manual to Accompany Agrestis Categorical Data Analysis (2002) by L.Thompson -280 pages-

Bayesian Inference for Categorical Data Analysis by Alan Agresti -48 pages-

Applied Categorical & Nonnormal Data Analysis (on-line lecture notes) by Philip B. Ender -Continuous, Binary, Nominal, Count Outcomes-

Visualizing Categorical Data by Michael Friendly (on-line lecture notes) -Loglinear and Logit Models, Correspondence Analysis-

Multinomial Response Models by G.Rodriguez -25 pages-

Categorical Data Analysis by Richard L. Scheaffer -20 pages-

Analysis of Categorical Response Data by -26 pages-

Recent Advances in Categorical Data Analysis by Maura E. Stokes -11 pages-

Lecture notes on Categorical Data Analysis by Petros Dellaportas -Likelihood Ratio Test, Poisson Distribution, Logistic Regression -39 pages in Greek-

Lecture notes on Categorical Data Analysis by Vassilis Vasdekis and Irini Moustaki -Relative Risk, Odds Ratio, Independence Testing -50 pages in Greek-

Logistic Regression for Ordinal Response Variable by Carolyn J. Anderson - 45 slides -

Regression Models for Ordinal Data by Peter McCullagh - 35 pages -