Paid (Fee-Based) Events

Elaine Eisenbeisz, Owner and Principal Statistician of Omega Statistics, is available for training and workshops in statistics, clinical research, process control/quality assurance, and other topics related to statistics and good research practices. Please call or email the Omega Statistics offices to request the latest brochure and pricing for the event(s) that interests you.

Current offerings and scheduled events are listed below.

In addition to the current offerings listed below, Elaine can design an in-house training or virtual webinar to meet your specific needs. Just give her a call at 877-461-7226 or fill out the contact form on this page to leave her a message and she’ll contact you to schedule a time to discuss your needs and how she can help!

Skills Training

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Currently Available Offerings:

2-Day In-Person Seminars/Workshops:

• Biostatistics for the Non-Statistician
• Statistics for Process and Quality Control
• Clinical Data Management
• Fundamentals of Clinical Trial Design
• Introduction to Adaptive Design
• Predictive Modeling Workshop with R Statistical Software

6-Hour Virtual Webinars:

• Statistics for Process Control
• Statistics for Quality Control
• Biostatistics for the Non-Statistician

2-Hour Virtual Webinars:

• Hypothesis Testing, P-Values, and Inference: When Thinking Like a Statistician Makes Sense
• Multiple Imputation for Missing Data
• Power Analysis and Sample Size
• Preparing a Statistical Analysis Plan
• MedDRA Basics
• Probability Basics
• Statistical Elements of Real-Time qPCR

Currently Scheduled Fee Based Events

Omega Statistics has contracted with 3rd party companies to present the following fee based events. The events are listed in chronological order. Please click on the links that interest you to learn more and to register.

Upcoming Events

6-Hour Virtual Webinar: Biostatistics for the Non-Statistician

November 13th, 2019

Learn More About the Biostatistics for the Non-Statistician Webinar

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 softwares are now available to professionals. However, these softwares 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 webinar 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 webinar 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.

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.

2-Hour Virtual Webinar: Statistical Elements of Real Time qPCR

December 5th, 2019

Learn More About the RT-qPCR Webinar

Join Elaine Eisenbeisz as she shows you how to use data to estimate a standard curve, how to perform computations for absolute and relative quantification. She will also present a few decision-making criteria and statistical tests that can be used with qPCR data.

Why you should attend:

  • If you work with gene expression data, you should attend.
  • Often researchers run the tests and collect data, then are not sure of the best way to test the data for differences and interactions between groups, targets and references, and/or calibrator and test samples.
  • Also, there is often a need to control for different researchers or samples in a statistical analysis. Learn how to add and interpret additional factors you may need into your statistical model design.
  • Concrete information on sample size, data structure, and interpretation of analysis findings will be presented in examples and Elaine will make some time at the end of the presentation to answer specific questions from the audience.
  • Some knowledge of correlation and/or simple linear regression is desired.
  • Real-time quantitative PCR (qPCR) includes a set of computations to find counts and fold-differences in gene expression data. qPCR is thus an important aspect in many biomedical fields, when a researcher wants to know the answers to the questions of (1) How many copies in the expression? (absolute quantification) or (2) What is the fold-difference between gene expressions (relative quantification).
  • The literature on statistical testing of qPCR data is a bit ambiguous, and there are numerous tests that can be used depending on the question you are asking.

    • Join the Stats for the Masses mailing list to receive the “Stats Grab Bag” email with useful resources and links relating to the work I do each week. I like to think of it as tidbits from practice. You’ll never know what you’ll get, but it could be just what you need!

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