Kay, R. and Little, S. (1987) Transformations of the Explanatory Variables in the Logistic Regression Model for Binary Data. Biometrika, 74, 495-501.
http://dx.doi.org/10.1093/biomet/74.3.495

has been cited by the following article:

• TITLE: Local Empirical Likelihood Diagnosis of Varying Coefficient Density-Ratio Models Based on Case-Control Data

  AUTHORS: Shuling Wang, Lin Zheng, Jiangtao Dai

  KEYWORDS: Varying-Coefficient Density-Ratio Model, Local Empirical Likelihood, Outliers, Influence Analysis

  JOURNAL NAME: Open Journal of Statistics, Vol.4 No.9, October 15, 2014

  ABSTRACT: In this paper, a varying-coefficient density-ratio model for case-control studies is developed. We investigate the local empirical likelihood diagnosis of varying coefficient density-ratio model for case-control data. The local empirical log-likelihood ratios for the nonparametric coefficient functions are introduced. First, the estimation equations based on empirical likelihood method are established. Then, a few of diagnostic statistics are proposed. At last, we also examine the performance of proposed method for finite sample sizes through simulation studies.