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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_04C | Sat, 8/2/08, 8:30 AM - 5:00 PM | CC-205 |
| Regression Modeling Strategies - Continuing Education - Course | ||
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ASA |
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| Instructor(s): Frank E. Harrell, Jr., Vanderbilt University | ||
| All standard regression models have assumptions that must be verified for the model to have power to test hypotheses and predict accurately. Of the principal assumptions, this course will emphasize methods for assessing and satisfying linearity and additivity. Practical but powerful tools will be presented for validating model assumptions and presenting model results. This course provides methods for estimating the shape of the relationship between predictors and response by augmenting the design matrix using restricted cubic splines. Even when assumptions are satisfied, over fitting can ruin a model's predictive ability for future observations. Methods for data reduction will be introduced, methods of model validation will be covered, and auxiliary topics such as modeling interaction surfaces, efficiently utilizing partial covariable data by using multiple imputation, variable selection, overly influential observations, collinearity, and shrinkage will be discussed. The methods covered will apply to almost any regression model, including ordinary least squares, logistic regression models, and survival models. | ||
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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. |