JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 657
Type: Contributed
Date/Time: Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #313818 View Presentation
Title: Power Analysis for Reproducibility Precision Studies of Multilevel Designs
Author(s): Beimar Iriarte*+
Companies:
Keywords: Reproducibility, Variance Components, Multilevel, Precision, Power
Abstract:

Precision is an important analytical performance characteristic of a measurement procedure. Good reproducibility of results in a clinical laboratory is of vital importance for the proper management of the condition of the patient. Reproducibility studies under expected operating conditions or factors are required by the reviewing, regulatory and approving bodies of the measurement device. These reproducibility studies are inherently multilevel or hierarchical in design, and variance components associated with such factors are the natural outcome of these studies, as is the existence of intra-class correlations greater than zero. Power analysis on sample size that takes into account the various levels of the designs should be an important step in the design of such studies, both for the analytical and financial cost targets. Methodologies and approaches for sample size determination for the various levels in the design will be illustrated with the 2 and 3 level designs of common use in reproducibility studies in a clinical laboratory.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development 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.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.