Logistic Regression Models

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Standards for Standardized Logistic Regression Coefficients (2011, methodology): “…used here were not selected to illustrate the lack of standard notation, note that, where Menard uses logit(Y), Agresti (1996) uses logit(π); Hilbe (2009) uses the term “logit” with no argument to the function and equates logit = ln[p/(1-p)] = ln[μ/(1-μ)]; Allison (1999) uses…”
A no-reference metric for evaluating the quality of motion deblurring (2013, methodology): “In this work we use a commonly-used regression method: Logistic Regression (LR) [Hilbe 2009].”
Firm age dynamics and causes of corporate bankruptcy: age dependent explanations for business failure (2018, background): “00 1 1 3 The logistic regression analysis offers the following interpretation: If the value of the variable xi is increased by 1 (and all others are unchanged), then the odd, i.e. the ratio event to non-event π∕(1 − π) increases by the factor exp(βi) (Hilbe 2009).”