Keynote Speaker
Thomas M. Loughin
Simon Fraser University

Dr. Tom Loughin grew up in the Philadelphia area, did his undergraduate work at Rensselaer Polytechnic Institute and his Master’s work at the University of North Carolina in Chapel Hill.  In 1993 he earned a Ph.D. in Statistics from Iowa State University under the direction of Dr. Ken Koehler, writing a dissertation on the topic of bootstrap applications to proportional hazards models.   

In the fall of 1993, he joined the faculty in the Department of Statistics at Kansas State University in a position jointly supported by the College of Arts & Sciences and K-State Research & Extension.  In that position he taught a variety of courses at all levels with a focus on applications.  He consulted widely, primarily with agricultural scientists and students, and served on a large number of graduate committees.  He earned a campus-wide reputation as an outstanding statistician, consultant and researcher. 

In 2006, Tom accepted a faculty position with Simon Fraser University in Burnaby,  B.C., Canada.  A long-time and energetic supporter of the Conference on Applied Statistics, as well as a frequent speaker, Tom will return in 2008 to deliver the keynote address and lead the conference workshop, "Methods and Models for Categorical Data in Agriculture".

Modeling categorical (qualitative or binary) data has become easier in recent years with increasing availability of statistical modeling software.  A wide range of model structures, both simple and complex, can be fit using SAS, R, and other software packages.  This workshop will discuss development, fitting, and interpretation for a variety of models that are commonly used for categorical data.  The focus will be on practical issues rather than on theoretical ones. 

Specific model foundations covered will include logistic and related models for binary data, and loglinear models for count data.  Model features will single and multiple explanatory variables, continuous and categorical explanatories, interactions, and special model structures such as random effects.  SAS programs and output will be used to demonstrate all analyses. 

Faculty Coordinators

John E. Boyer, Jr.

Phone:  (785) 532-0518

E-mail: 

Staff

Student

Coordinator