Zhushan Li, Power and Sample Size Calculations for Logistic Regression Tests for Differential Item Functioning, Journal of Educational Measurement, Vol. 51, No. 4 (Winter 2014), pp. 441-462 ...

Power was calculated based on 1,000 replications for each condition. Logistic regression variable selection Two methods were used to parameterize SNP in LR in this study.

Logistic regression parameters can be used to understand the relative predictive power of different variables, assuming that the variables have already been normalized to have a mean of 0 and ...

The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine learning techniques in the discriminatory phase of credit risk ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

Many papers in hospitality and tourism research use logistic regression as the multivariate estimation strategy. When the results from these models are presented, only the logistic regression ...

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...