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 | ||
| 638 * | Thu, 8/7/2014, 10:30 AM - 12:20 PM | CC-101 | |
| Biosignatures: Topics in Predicting Scalar Outcomes Using Complex Data — Topic Contributed Papers | |||
| Section on Nonparametric Statistics | |||
| Organizer(s): R. Todd Ogden, Columbia University | |||
| Chair(s): Fabian Scheipl, | |||
| 10:35 AM | Selecting Treatment Based on Generated Effect Modifiers — Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; R. Todd Ogden, Columbia University ; Zhe Su, New York University | ||
| 10:55 AM | A Paradoxical Result in Regression Estimation Arising from Constructing Moderators of Treatment Response — Thaddeus Tarpey, Wright State University ; R. Todd Ogden, Columbia University ; Eva Petkova, New York University School of Medicine | ||
| 11:15 AM | Developing and Understanding Functional Modifiers of Treatment Effect with Applications to Psychiatric Clinical Trials — Adam Ciarleglio, New York University School of Medicine ; Eva Petkova, New York University School of Medicine ; R. Todd Ogden, Columbia University ; Thaddeus Tarpey, Wright State University | ||
| 11:35 AM | Functional Linear Regression Model with Scalar on Image Predictors — Yihong Zhao, New York University ; R. Todd Ogden, Columbia University ; Huaihou Chen, New York University | ||
| 11:55 AM | Scalar-on-Function Regression with Measurement Error in the Functional Regressors — Xiaochen Cai, Columbia University ; R. Todd Ogden, Columbia University | ||
| 12:15 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.