Dr. Shannon's new publications are focused in the areas of statistical methods for sleep medicine and metagenomic data.

Object Data Analysis of Taxonomic Trees
From: Statistics in Medicine
Proposes a novel parametric statistical inference method based on object-oriented data analysis for analyzing human microbiome data.

Powerful Actigraphy Data Through Functional Representation
From: Chance 
Vol. 24, No. 3, 2011
Addresses the use of Functional Data Analysis as a natural method for the statistical analysis of activity data collected via actigraph.

Measuring the Impact of Apnea and Obesity on Circadian Activity Patterns Using Functional Linear Modeling of Actigraphy Data
From: Journal of Circadian Rythms
2011, 9:11
Proposes Functional Linear Modeling, a subset of Functional Data Analysis, for analyzing actigraphy data to extract and analyze circadian rhythm activity information.

This presentation highlights the role that statistical due diligence plays in more accurately quantifying the likelihood of clinical trial success or failure and identifying flaws in statistical claims. 

Download the presentation here.