This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 256
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #307445
Title: Harmonic Regression Analysis of Periodic Time Series Data from Clinical Trials
Author(s): Michael T. Gaffney *+ and Martin O. Carlsson and Kelly H. Zou
Companies: Pfizer Inc. and Pfizer Inc. and Pfizer Inc.
Address: 235 East 42nd Street, New York, NY, 10017,
Keywords: Harmonic Regression ; Two-Harmonic Model ; Periodic Data ; Time-Series Analysis ; Post-Hoc Analysis ; Clinical Trial

Harmonic regression is a useful method for analyzing periodic time series. Specific hypotheses that directly relate to the consistency of drug effect over a time interval such as 24 hours may be tested. The two-harmonic model consisting of the two lowest frequencies generally provides satisfactory fit of the diurnal rhythm for a variety of clinical data. The amplitudes and the phases of two harmonics per patient are used to estimate peak time for each patient. Each patient's data can be centered at the peak time in order to analyze the treatment effect at peak times and off-peak times. Post-hoc analyses of two clinical trials in urology and cardiology are conducted to compare the active treatment and the placebo using harmonic regression.

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