Logistic Regression Analysis and Reporting: A Primer

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OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests (2014, methodology): “Consequently, the equality or simultaneous maximization of these two quantities ( "SpEqualSe" and "MaxSpSe" methods in OptimalCutpoints , Riddle and Stratford 1999; Peng and So 2002; Gallop et al. 2003) or the maximization/minimization of a given combination tends to be more appropriate.”
An Introduction to Logistic Regression Analysis and Reporting (2002, background): “This trend mirrors the pattern that was found in higher education journals (Peng et al., 2002, except that the rise of logistic regression began a year earlier, in 1992, in higher education journals.”
Violence directed against teachers: results from a national survey (2014, methodology): “For further reading on logistic regression analyses, see Peng and So (2002). In our model, the outcome variable, victimization, is a dichotomized variable (1 = Yes, victimization occurred at least once across perpetrators; 0 = No victimization).”
The Use and Interpretation of Logistic Regression in Higher Education Journals: 1988–1999 (2002, methodology): “Although this information may appear trivial to readers, two recent studies by Peng and So (1999, 2002) have found that six major statistical packages (SAS, SPSS, BMDP, SYSTAT, MINITAB, and STATA) differed in their treatment of modeling strategies.”