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  Quit Smoking the Easy Way!


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Welcome to EricSayre.com. Eric C. Sayre, PhD is a statistician, researcher, author and programmer currently living in Vancouver, BC. He began working professionally in the field of statistics in 1997, and has worked on a contractual basis for Arthritis Research Canada since 2000. Beginning in 2002, he went back to complete two graduate degrees while remaining active in the research community. He completed his PhD in the Department of Statistics and Actuarial Science at Simon Fraser University in 2009. Eric has also been interested in Machine Learning, and thus far has completed Introduction to Data Science in Python by University of Michigan on Coursera, Certificate earned on April 24, 2017, and Machine Learning by Stanford University on Coursera, Certificate earned on March 24, 2017.

Since 1997, Eric has also been a statistical consultant/collaborator for a variety of clinical and epidemiological research groups, in both health research as well as various private industry projects. I am experienced in a variety of programming languages, databases, statistical packages, and other software, including SAS (expert), R, Parscale, C++, Octave, Microsoft SQL, VB Script, Active Server Pages (ASP), HTML, Microsoft Office (Word, Excel, PowerPoint, Access and Outlook), EndNote, to name but a few. Need help with your project? Happy to help! Click the tab on the left for more info.

Eric is a well-published researcher, with more than 250 publications since 1997. These are a mixture of first-authorships and coauthorships on articles published in peer-reviewed medical journals, abstracts presented at scientific meetings, research reports, invited talks and his own two graduate theses. Click the tab on the left for a complete list of publications and links to the full text of his theses.

Books
(Click the tabs on the left for more information, and links to the BIGGER SAMPLE PDFs or to purchase as Kindle eBooks or paperbacks.)

The Vancouver Model: Landed Money is Foreign Money: How Excessive Wealth-based Immigration can Hyperinflate a Housing Market Excessive, wealth-based immigration is a root cause of the housing crisis. Explored in this dystopian novel following two families on opposite sides.

The Real Junk Food Diet Book v2.0 Built on psychology, metabolism and our love of junk food. Mix entire Overeating Days into your diet days, and the pounds will drop off.

The Gradual Countdown: Quit Smoking the Easy Way! The Gradual Countdown is a highly structured, methodical, easy approach to quitting (baby steps), reducing the number and portions, and how you smoke.

Software
(Click the tab on the left for more information, an abstract, links to the complete PhD thesis and user's guide, and links to download the FULL FREE SOFTWARE.)

Variable-Weighted Ultrametric Optimization for Mixed-Type Data (VWUO-MD) In Eric's PhD research, he developed a new method of unsupervised learning (hypothesis generation) designed specifically for mixed-type data (continuous, ordinal, nominal, binary symmetric and binary asymmetric), along with data mining software to perform the analyses. Variable-Weighted Ultrametric Optimization for Mixed-Type Data (VWUO-MD) is useful in identifying new, complex relationships between variables of many different kinds, for example between a multitude of health conditions, socio-economic and geographic factors, and health services utilization patterns. VWUO-MD is a valuable tool for exploiting the increasing multitude of highly multivariate, mixed-type databases available to researchers and industry, in developing new, previously unthought-of hypotheses.


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