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Dr. Brian Marx

is Professor of Statistics at Louisiana State University, and has taught Categorical Data Analysis for over ten years. He is currently serving as Chair of the Statistical Modelling Society and is the Coordinating Editor of Statistical Modelling: An International Journal. Dr. Marx has numerous publications in peer reviewed journals.

Education:

BS Physiology, Michigan State University

MA Statistics, Penn State University

PhD Statistics, Virginia Polytechnic Institute and State University

Areas of Expertise:

Regression

Coefficient Models

Linear Models

Generalized Estimating Equations

Publications:

Co-author, "Splines, knots and penalties" Wiley Interdisciplinary, 2010.

Co-author, "A multiple additive regression tree analysis of three exposure measures during Hurricane Katrina" Disasters: The Journal of Disaster Studies, Policy and Management, 2010

Co-author, "Bilinear modulation models for seasonal tables of counts" Statistics and Computing, 2010.

Co-author, "Transformations of pseudo-Boolean random variables" Discrete Applied Mathematics, 2010.

Websites links:
Dr. Brian Marx

Courses:
Categorical Data - Applied Modeling
Categorical Data Analysis
Smoothing with P-splines (Using R)

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What our students say:

“I realized one of my work projects would benefit from deeper statistical analysis, including functions I had a good background in and knew at one time, but I needed to dust the cobwebs off and catch up to changes in the field.” Douglas D. Reimel, Jr.

Douglas Reimel

"I’ve increased my exposure in my department and profession because I have experience with a number of data analysis approaches. I’ve been asked to give guest lectures in other classes on statistical methods and different strategies, and I was asked to present at a national conference." Todd Lewis, Ph.D., Associate ProfessorDepartment of Counseling and Educational DevelopmentSchool of EducationUniversity of North Carolina at Greensboro

Todd Lewis

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Patricia Shewokis

“It took me a long time to find just the right program that provides the right mix of applied and theory, but I found the right one at statistics.com. My staff emerges from your training ready to make an impact on the company.” Joseph SommaDirector, Market IntelligenceIndependent Health

Joseph Somma

"Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my Statistics.com coursework to ask why something happened." Susan StranburgSoftware Developer

Susan Stranburg

"My courses help me look at more complex problems using different approaches to show more interesting aspects of conditions, beyond just tables and charts, more than just sampling or descriptive statistics." Cristobal BazanUnited Nations agency

Cristobal Bazan

I hear IT people complaining that they’re always needing to learn new technology because things in their field evolve and change quickly. The same thing is true in analytics. New techniques are developing rapidly. Robert Wood Director, Advanced Analytics Group, Merkle

Robert Wood

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