Corporate Affiliations Consulting About Us Contact Us

Dr. Iain Pardoe

teaches online and writes courses for Thompson Rivers University Open Learning. He also does statistical consulting and was formerly an Associate Professor of Decision Sciences at the University of Oregon Lundquist College of Business. He is the author of Applied Regression Modeling, 2nd ed (Wiley), and his research specialty is in the area of multivariate modeling. He has numerous journal publications (including a noted paper in the the Journal of the Royal Statistical Society on predicting Academy Award winners).

Education:

BSc Economics and Statistics University of Birmingham, UK

MSc Statistics University of Minnesota

PhD Statistics University of Minnesota

Areas of Expertise:

Regression

Bayesian analysis

Multilevel modeling

Graphical methods

Diagnostics and validation

Choice modeling

Publications:

Author, Applied Regression Modeling, 2nd ed (Wiley)

Selected Publications:

Pardoe, I. and D. K. Simonton (2012). Which Nominee Seems Most Likely to Win the Academy Award and Why? In Kaufman, J. C. and D. K. Simonton, editors, The Social Science of the Cinema. New York: Oxford University Press.

Pardoe, I. and D. K. Simonton (2008). Applying discrete choice models to predict Academy Award winners. Journal of the Royal Statistical Society, Series A, 171(2), 375-394.

Gelman, A. and I. Pardoe (2007). Average predictive comparisons for models with nonlinearity, interactions, and variance components. Sociological Methodology 37(1), 23-51.

Pardoe, I., X. Yin, and R. D. Cook (2007). Graphical tools for quadratic discriminant analysis. Technometrics 49(2), 172-183.

Gelman, A. and I. Pardoe (2006). Bayesian measures of explained variance and pooling in multilevel (hierarchical) models. Technometrics, 48(2) 241-251.

Pardoe, I. and R. R. Weidner (2006). Sentencing convicted felons in the United States: a Bayesian analysis using multilevel covariates (with discussion). Journal of Statistical Planning and Inference, 136(4) 1433-1472.

Pardoe, I. (2001). A Bayesian sampling approach to regression model checking. Journal of Computational and Graphical Statistics 10(4), 617-627.

Awards:

Outstanding Service Award, 2010, Thompson Rivers University Open Learning

Research Excellence Award, 2006-7, University of Oregon Lundquist College of Business

Websites links:
Iain Pardoe

Courses:
Regression Analysis

Want to be notified of future course offering?

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

"We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimate...

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

Site Map Privacy Policy Terms and Conditions