Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
JSTOR Daily

A Note on "The Use of Categorical Variables in Data Envelopment Analysis"

A variant of Banker and Morey's (1986) DEA model for controllable ordinal outputs. As opposed to the original model, this version allows the comparison of a Decision Making Unit (DMU) to other DMU's ...
Simon Fraser University

Lesson 7 Gap Analysis with Categorical Variables

The focus of this tutorial is on “associations” between two categorical variables. The scenario we will examine is the following: Are managerial status and gender at the bank related? Naturally, we ...
Visual Studio Magazine

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
Visual Studio Magazine

Data Prep for Machine Learning: Encoding

The Data Science Lab Data Prep for Machine Learning: Encoding Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical ...
JSTOR Daily

REGULARIZATION AND MODEL SELECTION WITH CATEGORIAL EFFECT MODIFIERS

The case of continuous effect modifiers in varying-coefficient models has been well investigated. Categorial effect modifiers, however, have been largely neglected. In this paper a regularization ...