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This is the preliminary program for the 2008 Joint Statistical
Meetings in Denver, Colorado.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2008 Program page |
= Applied Session,
= Theme Session,
= Presenter|
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| CE_11C | Sun, 8/3/08, 8:30 AM - 5:00 PM | CC-210-212 |
| Principles of Statistical Design - Continuing Education - Course | ||
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ASA |
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| Instructor(s): George Casella, University of Florida | ||
| We will cover the principles and practice of statistical design, paying attention to the setup and implementation of an experiment and the underlying theory that allows valid inferences. The course will begin with a review of the basic tools for statistical design and the statistical package R. The more common designs (e.g., factorial completely randomized designs, randomized complete blocks) and their variations (e.g., Latin squares) will be covered. Emphasis will be on designing the experiment to obtain the best inference on treatment contrasts, and designs will be illustrated will real data problems. We will focus on microarray designs and spend a lot of time on split plots and their variations (e.g., strip plot, repeated measures). Finally, we will move to confounding (e.g., incomplete blocks, fractions). This course is aimed at professional-level statisticians or interested faculty and graduate students. Attendees should have a working knowledge of statistical methodology and data analysis (e.g., Rawlings et al. Applied Regression Analysis, Springer-Verlag, 1998). | ||
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JSM 2008
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |