The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
525
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Nonparametric Statistics
|
Abstract - #303232 |
Title:
|
Thyroid Hormone Treatment Efficacy in Bipolar Disorder with Irregular and Sparse Cyclical Longitudinal Data
|
Author(s):
|
Brian Calimlim*+ and Catherine Ann Sugar and Patricia Walshaw
|
Companies:
|
University of California at Los Angeles and University of California at Los Angeles and University of California at Los Angeles
|
Address:
|
5573 Olympic Blvd., Los Angeles, CA, 90036,
|
Keywords:
|
Bipolar Disorder ;
Markov Chains ;
Permutation Tests ;
Cyclicity ;
Longitudinal Data ;
Depression/Mania
|
Abstract:
|
Bipolar Disorder (BD) is a psychiatric illness in which a person experiences episodes of elevated mood and energy, known as mania, and episodes of lowered mood and interest, known as depression. Due to its complex nature, challenges arise in analyzing BD data. Irregular cyclical patterns, varying in amplitude and phase by subject, make it difficult to develop simple parametric models, while the dual nature of BD requires a multi-component outcome measure. Further complications exist in treatment trials as efficacy can be manifested in many ways. In a study of thyroid hormone treatment efficacy for refractory rapid cycling BD, 32 patients were randomized to receive triiodothyronine (T3), thyroxine (T4), or a placebo plus usual medication. Depressive and manic symptoms data were longitudinally gathered before and after treatment. We present an analysis of this study and strategies taken to handle data irregularity and sparsity. A Markov chain approach is used for modeling, while permutation tests are developed to determine statistical significance. Preliminary results suggest patients receiving T3 show reductions in mania while those on T4 improve with regard to depression.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
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.