Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Logistic regression analysis, which estimates odds ratios, is often used to adjust for covariables in cohort studies and randomized controlled trials (RCTs) that study a dichotomous outcome. In ...

This is the third in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

This is a preview. Log in through your library . Abstract This article addresses the problem of estimating the population mean of the study variable y using information on two auxiliary variables x ...

This paper considers tests of the parameter on an endogenous variable in an instrumental variables regression model. The focus is on determining tests that have some optimal power properties. We start ...

We employ the quantile regression model to examine Taiwanese companies and consider factors that researchers have identified may influence orientation divergences for robustness testing. The results ...