Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

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 ...

Seeking Alpha article used statistical approach to estimate S&P 500 P/E market multiple based on macroeconomic variables. Treasury yield and federal spending to GDP ratio are significant variables ...

This is a preview. Log in through your library . Abstract Objective. To change the common practice of eliminating independent variables from models because they produce multicollinearity in an ...

The study included all patients with breast cancer who received neoadjuvant chemotherapy in Alberta between 2012 and 2014 identified from the Alberta Cancer Registry. Patient, tumor, and treatment ...