JSM 2005 Online Program

Abstract #304308

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.

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Activity Number:	107
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistics and the Environment
Abstract - #304308
Title:	On Methods for Handling Biomarker Data below the Analytic Limit of Detection
Author(s):	Stephen Looney*+ and Joseph L. Hagan
Companies:	Louisiana State University and Louisiana State University
Address:	1600 Canal St, School of Public Health, New Orleans, LA, 70112, United States
Keywords:	correlation analysis ; group comparisons ; left censoring ; left truncation ; profile likelihood methods
Abstract:	A problem encountered frequently in the analysis of biomarker data is that there are samples for which the concentration of the biomarker is below the analytic limit of detection (LOD). These have been handled in a variety of ways in the biomarker literature; a common method is to replace the missing value with either the LOD or LOD/2. Others have ignored values below the LOD when performing statistical analyses of the data. In this presentation, we review these and other methods used in dealing with observations below the LOD and describe the adverse effects some of the methods can have on the interpretation of the data. Recommendations are made concerning preferred methods for handling observations below the LOD when analyzing biomarker data.

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