Abstract Details
Activity Number:
|
140
|
Type:
|
Contributed
|
Date/Time:
|
Monday, August 5, 2013 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Bayesian Statistical Science
|
Abstract - #308968 |
Title:
|
A Bayesian Hierarchical Repeated Measures Model to Estimate the ED50 of Known Teratogens in Sea Urchin Eggs
|
Author(s):
|
Martiniano Flores*+ and Robert E Weiss and Michael D. Collins
|
Companies:
|
UCLA Fielding School of Public Health and University of California, Los Angeles and UCLA Fielding School of Public Health
|
Keywords:
|
Growth Curve ;
Random Effects Model ;
Teratology
|
Abstract:
|
Different doses of known human teratogens were administered to flasks containing fertilized sea urchin eggs (Strongylocentrotus purpuratus). Samples roughly of size 60 to 100 were taken, and the total number of abnormal phenotypes was recorded. A key goal is to estimate the ED50, the dosage required to cause abnormal phenotypes in 50% of the sample for each teratogen. Previously, ED50 was estimated by linear interpolation between the two doses whose percent bounded 50%. We use a Bayesian repeated measures random effects model for the proportion of abnormal phenotypes as a function of dosage and time at which the chemical was administered. Increasing dosage increases the proportion of abnormal phenotypes, but the rate of increase is dependent on the time at which the chemical is administered, providing insight into the biological mechanism of teratogenicity.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 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.
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.