Caiyan Li, Hongzhe Li, VARIABLE SELECTION AND REGRESSION ANALYSIS FOR GRAPH-STRUCTURED COVARIATES WITH AN APPLICATION TO GENOMICS, The Annals of Applied Statistics, Vol. 4, No. 3 (September 2010), pp.

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This technical note explains how to choose predictor variables to include in regression. The ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

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 ...

Instrumental variables regression (IV regression) is a method for making causal inferences about the effect of a treatment based on an observationa study in which there are unmeasured confounding ...

In case we know the relationship between the response and part of explanatory variables and do not know the relationship between the response and the other part of explanatory variables we use ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...