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Activity Number: 409
Type: Contributed
Date/Time: Tuesday, August 5, 2014 : 2:00 PM to 2:45 PM
Sponsor: Biopharmaceutical Section
Abstract #314087
Title: The Utility of Extending Spectral Analysis Methods to Evaluate Group Differences in Circadian Rhythms from Longitudinal Pre-Clinical Studies That Exhibit Missingness by Design
Author(s): Kenneth Wilkins*+
Companies: NIH
Keywords: Animal models ; Bayesian model averaging ; circadian ; missing by design ; spectral analysis ; telemetric measurement
Abstract:

Pre-clinical animal studies often afford much more granular data on a disease process than is possible in human trials. At certain stages of therapeutic development, they may collect extended series of repeated measurements over the course of 1 or more days. However, when investigating study arms differences in how circadian rhythms change over longer timeframes (e.g., weeks), shared use of personnel or telemetric equipment may require intermittent collection, with missingness by design induced longitudinally. In a murine model for kidney disease, the interactions of genetic factors and treatment are thought to effect change in vital measurements evident both within each circadian series and across series sampled over the multi-week post-intervention period. We adapt spectral analysis methods from the recent literature, extending from their typical application to replicate circadian series in a single timeframe to one involving repeatedly measured series wherein patterns may differ from one animal to another. Specifically, we compare novel applications of spectral resampling (Costa, et al; 2013) with a Bayesian model averaging approach using maximum entropy spectral analysis.


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