Recent Publications & Presentations

Books

• Blum and Duggins. Fundamentals of SAS Programming: A Case Studies Approach. 2019, SAS Press.

Papers

• Duggins and Blum. PROC REPORT: Tips and Customizations for Quickly Creating Customized Reports. 2021, SESUG Proceedings.

• Blum and Duggins. Getting Started with Attribute Maps: Methods for Creating and Storing Custom Style Definitions for Graphs, Charts, and Maps. 2021, SESUG Proceedings.

• Duggins and Blum. The Past, Present, and Future of Training SAS Professionals in a University Program. (Invited) 2020, SASGF Proceedings

• Duggins and Blum. Exploring Efficiency in Data Manipulation with SAS. 2019, SESUG Proceedings.

• Blum and Duggins. Getting Started with PROC DS2. 2019, SESUG Proceedings.

• Duggins and Blum. Web Scraping in SAS: A Macro-Based Approach. 2018, SESUG Proceedings.

• Blum, Duggins, Madi, and Kesler. Building Simulated CRF Data for Study Mock-Ups. 2018, PharmaSUG Proceedings.

• Duggins and Blum. SAS in the Classroom: Exploratory Data Analysis with SAS Studio. 2017, SESUG Proceedings

• Blum and Duggins. Working in SGPLOT: Understanding the General Logic of Attributes. 2017, SESUG Proceedings.

Presentations

• PROC REPORT: Tips and Customizations for Quickly Creating Customized Reports. 2021, SESUG

• The Past, Present, and Future of Training SAS Professionals in a University Program. 2020, SAS Global Forum (Invited). [Cancelled due to COVID-19]

• Exploring Efficiency in Data Manipulation with SAS. 2019, SESUG.

• Web Scraping in SAS: A Macro-Based Approach. 2018, SESUG.

• Building Simulated CRF Data for Study Mock-Ups. 2018, PharmaSUG.

• Internships!. 2016, UNCW Panel Discussion on Career Paths in Statistics

Short Courses & Workshops

Short Courses

• Exploratory Data Analysis Using R Markdown. 2021, Data Matters: Data Science Short Course Series

• Introduction to Programming in R. 2021, Data Matters: Data Science Short Course Series

• Professional Reporting: Beyond the Basics of PROC REPORT. 2021, SESUG

• Advanced R: Automating Work and Sharing Workflow. 2020, Data Matters: Data Science Short Course Series

• Introduction to R for Data Science. 2017-2020, Data Matters: Data Science Short Course Series.

• Intermediate Programming in R. 2017 - 2020, Data Matters: Data Science Short Course Series.

Workshops

• Getting Started with PROC DS2. 2019, SESUG

• Working in SGPLOT: Understanding the General Logic of Attributes. 2017 & 2018, SESUG.

• SAS in the Classroom: Exploratory Data Analysis with SAS Studio. 2017, SESUG.

Professional Interests

• Curriculum-integrated programming

• Statistics education

• Quantile regression

• Changepoint analysis

• Nonparametric inference

Graduate Committees

• Agricultural and Extension Education

• Civil Engineering

• Crop Science

• IMSEI

• Industrial and Systems Engineering

• Psychology

• Statistics

• Statistics Education

Certifications*

• SAS Certified Clinical Trials Programmer Using SAS 9

• SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling

• SAS Certified Advanced Programmer for SAS 9

• SAS Certified Base Programmer for SAS 9

*SAS certifications are verifiable via the SAS Global Certified Professional Directory

Service

• Faculty Senate, NCSU, 2020-2022

• Academic Policy Committee, NCSU, 2020-2022

• University Courses & Curricula Committee, NCSU, 2020-2022

• Undergraduate Academic Advisory Committee (XO), College of Science, NCSU, 2020-2022

• Reviewer, Journal of Statistical Theory and Practice

• AP Daily Program, Statistics

• AP Reading, Statistics

Grants

• Some, but my favorite is Cary.