IFAS Statistics

Principles of Statistical Design (Design of Experiments)

Course Description

This course covers the principles and practice of statistical design, paying attention to the setup and implementation of an experiment, and the underlying assumptions that allow valid inferences. Such details are important in obtaining the proper error terms for treatment inferences in complicated designs.

We will begin with a review of the basic tools for statistical design and the statistical package R. The more common designs will be covered (factorial completely randomized designs, randomized complete blocks) and their variations (such as Latin squares). Emphasis is on designing the experiment to obtain the best inference on treatment contrasts, and the designs are illustrated will real data problems taken from many areas: agriculture, engineering, public health, genomics, etc. There is a focus on microarray designs. We will spend a lot of time on split plots and their variations (strip plot, repeated measures), and then move to confounding (incomplete blocks, fractions).

Who should come

The course is aimed at interested faculty and graduate students. Attendees should have a working knowledge of statistical methodology and data analysis (for example from Rawlings et al. Applied Regression Analysis, Springer-Verlag 1998). The course is based on the recent textbook Statistical Design by George Casella (2008, Springer-Verlag).

Instructor

George Casella is Distinguished Professor of Statistics at the University of Florida. He is active in many aspects of statistics including decision theory, statistical confidence, environmental statistics, statistical genomics and the theory and application of Monte Carlo and other computationally-intensive methods. He is a Fellow of the ASA and the Institute of Mathematical Statistics (IMS), has served as Theory and Methods Editor of JASA, Executive Editor of Statistical Science, and is currently Joint Editor of the Journal of the Royal Statistical Society, Series B.

Registration

To register for a workshop please contact Allison Pipkin at apipkin@stat.ufl.edu or 352.392.1946. Cash or check (payable to University of Florida) is accepted; or Department Fund Transfer (E2R). Click here to register for the this workshop online.

Fee

The cost of the workshop is $500 - accept cash or check (payable to University of Florida); or Department Fund Transfer (E2R).

Dates for workshop

The workshop will take place on the following date

Date	Location	Time
10-11, December 2009	Conference room 426 of McCarty Hall, Building C	2 day workshop (8am - 5pm)