Rice Analytics

Automated Reduced Error Predictive Analytics


Dan Rice is Chief Scientist. Dan founded this business in early 1996 as a sole proprietorship, but it was incorporated into its current structure in 2006. Prior to 1996, he was an assistant professor at the University of California-Irvine and the University of Southern California.  Dan has almost 25 years of research project and advanced statistical modeling experience for major organizations that include the National Institute on Aging, Eli Lilly, Anheuser-Busch, Sears Portrait Studios, Hewlett-Packard, UBS, and Bank of America.  He has a Ph.D. from the University of New Hampshire in Cognitive Neuroscience and Postdoctoral training in Applied Statistics from the University of California-Irvine.  Dan is a previous recipient of an Individual National Research Service Award from the National Institutes of Health and is author of more than 20 publications, many of which are in conference proceedings and peer-reviewed journals in cognitive neuroscience and statistics. Dan was the lead author of two peer reviewed papers in the 1990's that together presented the first explanation based upon quasi-experimental evidence involving temporal lobe brain imaging and recent memory deficit data that the causal process in Alzheimer's disease must have an average preclinical stage of at least 10 years. This idea was controversial at the time as many physicians simply did not accept such a long preclinical period for Alzheimer's disease, but has now become widely accepted in the biomedical research community.  In 2010-2011, the National Institute on Aging issued new diagnostic guidelines for Alzheimer's disease to incorporate this long preclinical phase.  This is because a large number of brain imaging studies have now replicated and extended the original finding of temporal lobe brain abnormalities and associated recent memory deficits in probable Alzheimer's patients and non-demented elderly (Rice et al., Journals of Gerontology, 1990, Rice et al., Journals of Gerontology, 1991).  Most importantly, these new studies are longitudinal in nature, so they are able to confirm the Rice et al. (1991) prediction based upon cross-sectional data that there is a 10 year average preclinical period in Alzheimer's disease.
Since the mid 1990's and as a part of his consultancy activities, Dan has been interested in the development of a reduced error form of machine learning - Reduced Error Logistic Regression (RELR) - to automate the discovery of putative causes and accurate predictive models for business and science artificial intelligence applications. Dan is the author of Calculus of Thought - published by the Academic Press imprint of Elsevier in November 2013.  This book argues that the RELR methodology allows a new era of automated cognitive machines in the spirit of Leibniz's famous concept of a Calculus of Thought that may parallel many important aspects of neural cognitive computation and allow human bias and error to be removed from research and modeling.
Eileen Lambert is Vice President of Growth and Finance. Eileen has over 30 years experience in accounting, finance and business consulting.  She started her career with Arthur Young (Ernst and Young) and moved to middle management business consulting division where she was Senior Manager in charge of developing the practice.  She left Ernst and Young to become Chief Financial Officer for Office Plus.  There she led a turnaround and helped to sell to a larger industry partner. Since the late 1990's, she has been Principal for Eileen Lambert CPA with both large and small companies as clients.

Please contact us at:
Rice Analytics
1514 Oriole
Brentwood, MO   63144
314 968 8175


Machine Learning  Segmentation  Consumer Surveys  Predictive Modeling  Risk Management