Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
|
|
Tweet | ||
| 533 * | Wed, 8/6/2014, 2:00 PM - 3:50 PM | CC-257B | |
| Advances in Risk Prediction Using Genetic and Genomic Data — Invited Papers | |||
| Section on Statistics in Epidemiology | |||
| Organizer(s): Huilin Li, New York University | |||
| Chair(s): Mengling Liu, New York University | |||
| 2:05 PM | Strategies for Building Risk Models Based on Single Nucleotide Polymorphisms (SNPs) — Mitchell Henry Gail, National Cancer Institute ; Ruth Maria Pfeiffer, National Cancer Institute ; Jincao Wu, National Cancer Institute | ||
| 2:30 PM | Cross-Study Reproducibility of Predictions, with Application to Genomics — Giovanni Parmigiani, Dana-Farber Cancer Institute | ||
| 2:55 PM | The Incremental Value of Percent Mammographic Density and Common Single Nucleotide Polymorphism Genotypes for Predicting Absolute Risk of Breast Cancer — Jinbo Chen, University of Pennsylvania Perelman School of Medicine ; Lu Chen, University of Pennsylvania Perelman School of Medicine ; Mitchell Henry Gail, National Cancer Institute | ||
| 3:20 PM | A Risk Prediction Model for Smoking Experimentation in Mexican-American Youth — Sanjay Shete, MD Anderson Cancer Center ; Rajesh Talluri, MD Anderson Cancer Center | ||
| 3:45 PM | Floor Discussion | ||
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.