JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 614
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #305776
Title: Measurement Errors in Times for Blood Sampling in Population Pharmacokinetic Models
Author(s): Leena Choi*+
Companies: Vanderbilt University
Address: 863 Glendale Lane, Nashville, TN, 37204, United States
Keywords: pharmacokinetic ; nonlinear mixed effects models ; errors-in-variables ; measurement error ; sampling time error

Observational population pharmacokinetic (PK) data collected from routine clinical practice can provide valuable information. In contrast to PK data collected from a clinical trial, the analysis of observational PK data has several challenges. One of the challenges is measurement error in variables in PK models. An example is the time at which blood concentrations were measured or medications were administered, which is assumed to be known without error. However, time information for blood sample draw is often missing or inaccurately recorded in observational PK studies. Errors-in-variables and their bias correction using measurement error models has been widely discussed in linear and nonlinear regressions. As of yet, the measurement error problem has not been extensively studied in population PK models, an important area of nonlinear mixed effects models. Thus, we studied the effect of measurement errors in time at blood draw in population PK models. We conducted simulations studies to examine the bias in parameter estimates in the presence of measurement errors in variables, and compared bias correction methods and made recommendations.

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 2012 program

2012 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.