CU Boulder News & Events

DTSA 5013 Generalized Linear Models and Nonparametric Regression

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, ...
Frontiers

A hurdle and negative binomial model approach to analyzing the gender differences in diagnostic imaging utilization under high-deductible health plans

1 School of Economics and Business Administration, Chongqing University, Chongqing, China 2 Gustavson School of Business, University of Victoria, Victoria, BC, Canada Introduction: High-Deductible ...
IEEE

Non-Central Negative Binomial Regression Model for Count Data

Abstract: This paper introduces a three parameter regression count model although involving confluent hypergeometric function (CHF). It has some benefits over classical Poisson (P) and negative ...
GitHub

Generalized Linear Model (GLM) analysis using Negative Binomial regression to predict hospitalizations from NHANES health data.

Led a team of 4 researchers in STAT 171 (General Statistical Models) to investigate significant and non-significant predictors of hospitalization rates using CDC health data. Directed project planning ...