JSM 2005 - Toronto

Abstract #303690

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 198
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303690
Title: Associations of LDL Cholesterol in the Presence of Lipid-lowering Medications: An Imputation Approach
Author(s): Robyn McClelland*+ and Richard A. Kronmal
Companies: University of Washington and University of Washington
Address: 6200 NE 74th St, Seattle, WA, 98115, United States
Keywords: imputation ; LDL ; cholesterol
Abstract:

Many studies seek to estimate the association between LDL cholesterol and either another risk factor (e.g., genotype, race) or an outcome (e.g., mortality, subclinical disease burden). This is problematic when a large proportion of the subjects are taking lipid-lowering medications that lower LDL. For these subjects, the treated cholesterol may be observed, but the underlying "untreated" cholesterol may be the measure that is truly of interest as it is more reflective of the cumulative burden of high cholesterol. Those with highest untreated cholesterol may have some of the lowest measurements, and any relationships may be strongly attenuated. Additionally, the effect of lipid-lowering medication is confounded with the effect of LDL itself. In this presentation, we discuss methods of imputation of LDL cholesterol. Results from the metaanalysis literature will be used to estimate the untreated values as a function of the observed value, type of drug, and dose. We illustrate the methods in the setting of estimating associations of LDL cholesterol with various measures of subclinical disease in the Multi-Ethnic Study of Atherosclerosis (MESA).

  • 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 2005 program

JSM 2005 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.
Revised March 2005