Ratios are everywhere in statistics—coefficient of variation, hazard ratio, odds ratio, the list goes on. You see them reported in the literature and in your output.
You comment on them in your reports. You even (kinda) understand them. Or, maybe, not quite?
Please join Elaine Eisenbeisz as she presents an overview of the how and why of various ratios we use often in statistical practice.
Which ones you ask? How about:
- Coefficient of determination
- Coefficient of variation
- Correlation coefficient
- Hazard ratio
- Likelihood ratio
- Odds ratio
- Relative risk ratio
- Variance inflation factor
Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.
About the Instructor
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. She designs methodology and analyzes data for studies in the clinical, and biotechnology fields. Additionally, Elaine and Omega Statistics are the go-to resource for ABD students who require assistance with dissertation methodology and analysis.
Throughout her tenure as a private practice statistician, Elaine has published work with researchers and colleagues in peer-reviewed journals. Fitting of her eclectic tastes, her current interests include statistical genetics and psychometric survey development.
Elaine earned her B.S. in Statistics at UC Riverside and her Master’s Certification in Applied Statistics from Texas A&M. She is currently finishing her graduate studies at Rochester Institute of Technology. Elaine is a member in good standing with the American Statistical Association and a member of the Mensa High IQ Society.
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