JSM 2005 Online Program

Abstract #303287

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:	62
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Biometrics Section
Abstract - #303287
Title:	A Likelihood-based Approach to Modeling Real-time RT-PCR Data with Right Censoring
Author(s):	Yi He*+ and Bonnie LaFleur
Companies:	University of Minnesota and Vanderbilt University
Address:	1064E 27th Ave SE, Minneapolis, MN, 55414, United States
Keywords:	Real-time PCR ; DNA / RNA quantitation ; maximum likelihood ; right-censored
Abstract:	The ability to monitor the real-time progress of the polymerase chain reaction (PCR) has enhanced PCR-based quantitation of DNA and RNA. Reactions are characterized by the point (threshold) in time during cycling when amplification of a PCR product is first detected rather than the amount of PCR product accumulated after a fixed number of cycles. These real-time RT-PCR measurements are based on fluorescent intensity above background; in some cases, the cycle at which this intensity is reached is above the set detection limit. This means real-time RT-PCR samples may be right-censored. In this paper, we examine methods that can be used to adjust these data for censoring. We present a model for a sample at a single point in time in addition to a longitudinal model for experiments where sample concentrations are collected over time. These models are fit using maximum likelihood methods. Good model performance is demonstrated through simulation studies and data generated from an experiment looking at infant antibody response.

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