|
|
|
This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
|
|
|
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 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
104
|
Mon, 7/30/07, 8:30 AM - 10:20 AM | CC-255 A |
| Longitudinal Data and Survival Data Modeling - Contributed - Papers | ||
|
Biometrics Section, Section on Health Policy Statistics |
||
| Chair(s): Zonghui Hu, National Institutes of Health | ||
| 8:35 AM |
Joint Modeling of Longitudinal and Survival Data Using Penalized Corrected Likelihood —  Bo Hu, The Cleveland Clinic; Liang Li, The Cleveland Clinic; Tom Greene, The Cleveland Clinic
|
|
| 8:50 AM |
Analysis of Longitudinally Measured Multivariate Biomarkers and Left-Censored Data — Ghideon S. Ghebregiorgis, University of Pittsburgh; Lisa Weissfeld, University of Pittsburgh
|
|
| 9:05 AM |
Modeling Longitudinal Biomarker Data with Multiple Assays That Have Different Known Detection Limits — Paul Albert, National Cancer Institute
|
|
| 9:20 AM |
Regression Analysis of Multivariate Recurrent Event Data with Time-Varying Covariate Effects — Liang Zhu, University of Missouri-Columbia
|
|
| 9:35 AM |
Analysis of Longitudinally Measured, Left-Censored Biomarkers of Severe Sepsis with Dropout, and Death — M. Abdus Sattar, University of Pittsburgh; Lisa Weissfeld, University of Pittsburgh
|
|
| 9:50 AM |
Semiparametric Joint Modeling of Longitudinal and Time-to-Event Data Using P-Spline: A Penalized Likelihood Approach — Wen Ye, University of Michigan; Xihong Lin, Harvard School of Public Health; Jeremy Taylor, University of Michigan
|
|
| 10:05 AM |
Joint Analysis of Multiple Longitudinal Outcomes and a Time-to-Event Using a Nonlinear Latent Class Approach — Cecile Proust-Lima, University of Michigan; Helene Jacqmin-Gadda, INSERM, U875; Jeremy Taylor, University of Michigan
|
|
|
JSM 2007
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. |