Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Annales d'Économie et de Statistique, No. 55/56, Économétrie des Données de Panel / Panel Data Econometrics (Sep. - Dec., 1999), pp. 243-275 (33 pages) This paper considers mismeasurement of the ...

We propose Bayesian parametric and semiparametric partially linear regression methods to analyze the outcome-dependent follow-up data when the random time of a follow-up measurement of an individual ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Any Broadway producer will tell you there’s no magic formula for Broadway success. But that doesn’t stop some people from trying to find one. The result: A multi-variable linear regression model (you ...