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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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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 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_11C | Sun, 8/6/06, 8:30 AM - 5:00 PM | CC-308 |
| Regression Modeling Strategies - Continuing Education - Course | ||
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The ASA |
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| Instructor(s): Frank E. Harrell, Jr, Vanderbilt University School of Medicine | ||
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Of the principal assumptions (linearity, additivity, distributional), this course will emphasize methods for assessing and satisfying the first two. Practical, but powerful, tools will be presented for validating model assumptions and presenting model results. This course will provide methods for estimating the shape of the relationship between predictors and response by augmenting the design matrix using restricted cubic splines. Methods for data reduction will be introduced to deal with the number of potential predictors being large in comparison with the number of observations. Methods of model validation will be covered, as will auxiliary topics such as modeling interaction surfaces, efficiently utilizing partial covariable data by using multiple imputation, variable selection, overly influential observations, collinearity, and shrinkage. The methods covered will apply to almost any regression model, including ordinary least squares, logistic regression models, and survival models.
RECOMMENDED TEXTBOOK: Harrell, F.E. (2001): Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer. ISBN: 0-387-95232-2. Course attendees are expected to be familiar with the topic at the level of: |
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JSM 2006
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. |