This seminar is a thorough review of the basics for those who need a refresher on statistical theory and types of statistical analyses. It gives you the information and skills necessary to understand statistical concepts and findings as it applies to clinical research, and to confidently convey the information to others.
Why Should You Attend:
The use of statistics in clinical trials insures a valid and robust study which minimizes bias in assessing the efficacy of new drug treatment or medical devices.
Participants in this 6-hour virtual seminar will learn the fundamentals of statistical theory, and how statistical concepts are applied in analysis and reporting of clinical research findings.
The objective of the seminar is to provide information that can be used immediately by personnel involved in analysis of clinical trial data. Emphasis will be placed on the actual statistical (a) concepts, (b) application, and (c) interpretation, and not on mathematical formulas or actual data analysis. A basic understanding of statistics is desired, but not necessary.
This seminar also provides a thorough review of the basics for those who need a refresher on statistical theory and types of statistical analyses
Learning objectives:
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 the theory and application of statistics.
Many statistical software’s are now available to professionals. However, these software’s were developed for statisticians and can often be daunting to non-statisticians. How do you know if you are pressing the right key, let alone performing the best test?
This seminar provides a non-mathematical introduction to biostatistics and is designed for non-statisticians. And it will benefit professionals. who must understand and work with study design and interpretation of findings in a clinical or biotechnology setting?
The focus of the seminar is to give you the information and skills necessary to understand statistical concepts and findings as applies to clinical research, and to confidently convey the information to others. Therefore, a basic/fundamental to intermediate understanding of statistics is all that is needed to understand and apply the information presented in this seminar.
In-Person Seminar going Virtual with increased learner satisfaction.
Yes, attend this seminar from anywhere. We are making it real and more interactive – Here's a sneak peek:Our enhanced delivery process and technology provides you an immersive experience and will allow you to access:
- The real-time and live presentation as in in-person events
- Private chat for company-specific conversation – the same as you would get in an in-person seminar
- Opportunities to connect with your peers to share knowledge at a different time and have group discussions
- Live workshop activities
- Live Q&A during the event and offline Q&A assistance after the event
- As usual more content, activities and case studies and now adding homework for a comprehensive understanding
- Certification
This seminar provides information that can be used immediately by personnel involved in analysis of clinical trial data. Emphasis will be placed on the actual statistical (a) concepts, (b) application, and (c) interpretation, and not on mathematical formulas or actual data analysis. A basic understanding of statistics is desired, but not necessary.
Who will Benefit:
- Investigators
- Physicians Clinical Investigators
- Clinical Research Statisticians
- Clinical Research Coordinators
- Clinical Research Nurse Coordinators
- Clinical Research Associates/Assistants
- Clinical Project Managers/Leaders
- Study Managers
- Regulatory Professionals who use statistical concepts/terminology in reporting
- Medical Writers and others who need to interpret statistical reports.
December 1st, 2021 (10:00 AM - 4:00 PM EST)
- Why Statistics?
- Do we really need statistical tests?
- Sample vs. Population ·
- I’m a statistician not a magician! What statistics can and can’t do ·
- Descriptive statistics and measures of variability
- The many ways of interpretation
- p-values ·
- Confidence intervals ·
- Effect sizes ·
- Clinical vs. meaningful significance
- Common Statistical Tests
- Comparative tests : t-tests, Analysis of Variance (ANOVA) ·
- Correlation ·
- Linear Regression analysis ·
- Non-parametric techniques
- Other Statistical Tests
- Comparing Survival Curves and Cox Regression ·
- Logistic Regression
Elaine Eisenbeisz
Owner, Omega Statistics
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.
