Elaine Eisenbeisz

Elaine Eisenbeisz
Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California. Elaine has over 30 years of experience in creating data and information solutions for industries ranging from governmental agencies and corporations, to start-up companies and individual researchers.
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 received her Master’s Certification in Applied Statistcs from Texas A&M, and is currently finishing her graduate studies at Rochester Institute of Technology. Elaine is a member in good standing with the American Statistical Association as well as many other professional organizations. She is also a member of the Mensa High IQ Society. Omega Statistics holds an A+ rating with the Better Business Bureau.
Elaine has designed the methodology for numerous studies in the clinical, biotech, and health care fields. She currently is an investigator on approximately 10 proton therapy clinical trials for Proton Collaborative Group, based in Illinois. She also designs and analyzes studies as a contract statistician for nutriceutical and fitness studies with QPS, a CRO based in Delaware. Elaine has also worked as a contract statistician with numerous private researchers and biotech start-ups as well as with larger companies such as Allergan and Rio Tinto Minerals. Not only is Elaine well versed in statistical methodology and analysis, she works well with project teams. Throughout her tenure as a private practice statistician, she has published work with researchers and colleagues in peer-reviewed journals. Please visit the Omega Statistics website at www.OmegaStatistics.com to learn more about Elaine and Omega Statistics.
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Hypothesis Testing, P-Values, and Inference – When Thinking Like a Statistician Makes Sense
This webinar will present the reasoning that formulates null hypotheses and turns researchers’ hair gray. You will learn the why and how of the scientific method, and how to view the world with a statistician’s eyes. Do you become... -
Is My Data Abnormal? Normality Tests and Transformations
This webinar will show you how to check for normality in your data and apply transformations to non-normal data. Many of the commonly used statistical tests and calculations of chart limits (or other measurements) require that the data be... -
6-Hour Virtual Seminar on Statistics for Quality Control
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. The concepts and information presented will be mainly concerned with statistical quality control: obtaining information... -
Statistical Elements of Sample Size Calculations for Non-Clinical Verification and Validation Studies
This webinar provides the logic and processes for determining samples sizes for common tests used in verification or validation of processes. The focus of this webinar is on providing the information needed for attendees to know the appropriate measures... -
Calculations for Process and Product Capability
Attendees of this webinar will learn specific concepts and formulas commonly used to measure the ability of a process to produce output within customers’ specification limits. The focus of this webinar is on providing the information needed for attendees... -
Statistical Elements of Small Sample Sizes and Only 3 Lots in Process or Product Validation
Attendees of this webinar will learn statistically valid methods for using small sample sizes and for using lots as few as 3 when validating processes or products. The focus of this webinar is on providing the information needed for... -
6-Hour Virtual Seminar on Biostatistics for the Non-Statistician
Statistics is a useful decision making tool in the clinical research arena. When working in a field where a p-value can determine the next steps on development of a drug or procedure, it is imperative that decision makers understand... -
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6-Hour Virtual Seminar on Statistics for Process Control
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. The concepts and information presented will be mainly concerned with statistical process control: obtaining monitoring... -
Statistical Tips and Techniques for Handling Missing Data
If you work with data, you should attend this webinar. Real life data is not pretty. It is messy and often incomplete. There are many ways to handle missing data and many of these ways are not the best.... -
6-Hour Virtual Seminar on Adaptive Design for Clinical Trials
Duration: 6 Hours
Presenter: Elaine Eisenbeisz -
Power Analysis for Sample Size Calculations
In this webinar attendees will learn the statistical power analysis and techniques for determining sample size (a priori techniques) calculation. Also attendees will get work examples in the free to use G*Power software. Some code and demonstrations will be...