Elaine Eisenbeisz is a private practice consultant based in Southern California. She has over 20 years of experience in creating data and information solutions for industries ranging from governmental agencies and corporations, to start-up companies and individual researchers.
In addition to her technical expertise, Elaine possesses a talent for conveying statistical concepts and results in a way that people can intuitively understand.
Elaine’s love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended University of California, Riverside, as a National Science Foundation Scholar, where she earned a B.S. in Statistics with a minor in Quantitative Management, Accounting. Elaine completed her graduate certification in Applied Statistics with Texas A & M University. Gig ‘em Aggies! Currently, she is finishing her graduate work in Applied Statistics at Rochester Institute of Technology.
Elaine is a member of The American Statistical Association as well as many other professional organizations. She is also a member of the Mensa High IQ Society. Elaine is also a member in good standing with the Better Business Bureau.
Current areas of interest include Bayesian inference, simulation and bootstrapping techniques, and predictive modeling.
When she isn’t crunching numbers you can find Elaine digging in her garden, playing her violin, cooking, or playing board games with friends.
This 6-hour virtual seminar includes a presentation of the steps and techniques used to quantify variability in manufacturing processes, and to assure quality products.
In this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation.
Clinical trials are expensive, time-consuming, and labor-intensive. And in the traditional sense, study designs are inflexible.
In this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation.
If you work with data, you should attend this webinar. Real life data is not pretty. It is messy and often incomplete.
Statistics is a useful decision making tool in the clinical research arena.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 6 Hours | Price: $595.00 | View DetailsIn this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 90 Minutes | Price: $199.00 | View DetailsIf you work with data, you should attend this webinar. Real life data is not pretty. It is messy and often incomplete.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 90 Minutes | Price: $199.00 | View DetailsIn this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 2 Hours | Price: $249.00 | View DetailsThis 6-hour virtual seminar includes a presentation of the steps and techniques used to quantify variability in manufacturing processes, and to assure quality products.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 6 Hours | Price: $595.00 | View DetailsClinical trials are expensive, time-consuming, and labor-intensive. And in the traditional sense, study designs are inflexible.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 6 Hours | Price: $595.00 | View DetailsStatistics is a useful decision making tool in the clinical research arena.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 6 Hours | Price: $945.00 | View DetailsIn this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 90 Minutes | Price: $399.00 | View DetailsIf you work with data, you should attend this webinar. Real life data is not pretty. It is messy and often incomplete.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 90 Minutes | Price: $399.00 | View DetailsIn this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 2 Hours | Price: $449.00 | View DetailsThis 6-hour virtual seminar includes a presentation of the steps and techniques used to quantify variability in manufacturing processes, and to assure quality products.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 6 Hours | Price: $945.00 | View DetailsClinical trials are expensive, time-consuming, and labor-intensive. And in the traditional sense, study designs are inflexible.
Speaker: Elaine Eisenbeisz | View Anytime | Duration: 6 Hours | Price: $945.00 | View Details