|
|
|
This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
|
|
|
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 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_04C | Sat, 8/1/09, 8:30 AM - 5:00 PM | CC-101 |
| Longitudinal Data Analysis: Semiparametric and Nonparametric Approaches - Continuing Education - Course | ||
|
ASA, Biometrics Section |
||
| Instructor(s): Annie Qu, University of Illinois at Urbana Champaign, Peter X.K. Song, University of Michigan | ||
| This short course will introduce semiparametric and nonparametric approaches that do not require specification of the likelihood functions. In particular, the application of the quadratic inference function (QIF) will be illustrated through development of statistical theory and methods, illustration of real-world data examples, and the use of the newly developed SAS MACRO QIF. The QIF can easily take into account correlation within subjects and deal directly with both continuous and discrete response longitudinal data under the framework of generalized linear models. We will cover how the QIF yields a more efficient estimator than the currently popular generalized estimation equation approach; the QIF is analogous to twice the negative loglikelihood, so it naturally provides for hypothesis testing, similar to likelihood ratio tests and goodness-of-fit tests for model assumptions; and missing data occurs frequently. We will illustrate diagnostic testing to determine whether missing data is missing completely at random or missing at random. | ||
|
JSM 2009
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. |