Logistic Discrimination and Bias Correction in Maximum Likelihood Estimation

Abstract

Maximum likelihood estimates of the parameters for logistic discrimination show considerable bias in small samples, Adjustment by a bias correction using higher derivatives of the log likelihood is shown to be effective in a simulation study. The procedure is illustrated in a medical diagnosis problem.