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 or Virtual) Seminars/Workshops:

NOTE: In-person events are not being scheduled at this time

• Biostatistics for the Non-Statistician
• Statistics for Process and Quality Control
• Statistical Elements of Chemistry, Manufacturing, and Controls (CMC)
• Clinical Data Management
• Fundamentals of Clinical Trial Design
• Introduction to Adaptive Design

6-Hour Virtual Webinars:

• Biostatistics for the Non-Statistician
• Regression and Beyond! Elements of Predictive Modeling in R
• Statistics for Process Control
• Statistics for Quality Control
• Statistical Elements of Post Market Clinical Follow-Up (PMCF)
• Categorical Data Analysis

4-Hour Virtual Webinars:

• Multiple Linear Regression, Logistic Regression, and Survival Analysis
• Applied Time Series Analysis in Health Care
• Statistical Elements of PK/PD Analysis

90 Minute or 2-Hour Virtual Webinars:

• Hypothesis Testing, P-Values, and Inference: When Thinking Like a Statistician Makes Sense
• Is my Data Normal? Normality Tests and Transformations
• 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
• Understanding Clinical Trial Reports
• Propensity Score Matching in Observational Studies
• Multiplicity: When and How to Adjust for Multiple Testing
• Calculations for Process and Product Capability
• Statistical Elements of Sample Size Calculations for Non-Clinical Verification and Validation Studies
• Statistical Elements of Small Sample Sizes and Only 3 Lots in Process of Product Validation

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

90 Minute Webinar: Statistical Elements of Sample Size Calculations for Non-Clinical Verification and Validation Studies

June 17, 2021

Learn More About the Statistical Elements of Sample Size Calculations for Non-Clinical Verification and Validation Studies Webinar

Verification and validation studies of design-outputs and/or manufacturing processes are required in many manufacturing processes. However, it can be difficult to understand the rational for same sizes used in these contexts. This webinar will be useful to those interested in learning how to make and justify the reasoning behind sample size determination.

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 and formulas to use for the determining sample size and providing justification for the planned sample sizes.

Learn the theory, terminology, regulatory requirements, best practices, and of course, the steps for calculating sample sizes for process verification and validation.

NOTE: This webinar does not address rationales for sample sizes used in clinical trials.

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

June 22, 2021

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.

6-Hour Virtual Webinar: Statistics for Process Control

June 24, 2021

Learn More About the Statistics for Process Control Webinar

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 information (data) that is objective, unbiased, and useful for decision making. An emphasis will be placed on the set-up and use of control charts.

The objective of the seminar is to provide information that can be used immediately by personnel involved in production operations, and by supervisors and management in decision making. Although the presentation involves use of statistical techniques, presentation of statistical theory will be limited to only what is needed by the attendees to understand and implement processes and monitoring tools within the statistical framework.

Presented examples will include an emphasis on the manufacturing processes and quality assurance needs of product in the medical device and pharmaceutical industries.

Process control is constantly evolving. Therefore, historical concepts, current trends and regulatory requirements will be discussed. The presentation of statistical charts and analyses, graphical techniques for planning, trouble-shooting and problem solving will also be presented.

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

July 8, 2021

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.

90 Minute Virtual Webinar: Power Analysis for Sample Size Calculations

July 13, 2021

Learn More About the Power Analysis for Sample Size Calculations Webinar

The power of your study is the probability that you will find a statistically significant difference or relationship (an “effect”) if that difference or relationship (effect) truly exists in the population.

A study with too small of a sample size is under-powered. This means that even if the effect you are testing for truly exists, you won’t achieve statistical significance. You will waste time by collecting a sample that is too small to properly power a study. Why perform a research if you can’t see significance for your desired effect?

A study with too large of a sample is over-powered. This means that you’ve collected such a large sample that you will see significance even on very small effects. However, the costs of subject recruitment, data collection, and follow-up (if needed) are quite large. Recruiting more subjects than needed unnecessarily inflates the temporal and monetary costs.

Questions related to the feasibility of a study can be answered by power analysis:

  • How large of a sample will I need to collect in order to see a significant effect?
  • How many subjects will I need if I test an effect that is a bit larger? a bit smaller?
  • Answers to questions like these will give you an idea if your study is indeed “do-able.”

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 provided for powering studies and performing power analysis simulations in R software.

SPECIAL EVENT! 3-Day Virtual Seminar:

Biostatistics for the Non-Statistician

U.S. Based Event: July 14-16, 2021 (9 a.m. – 2 p.m. Pacific Time, Daily)

Learn More About the Biostatistics for the Non-Statistician Seminar

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 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.

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.

90 Minute Webinar: Multiplicity: When and How to Adjust for Multiple Testing

August 5, 2021

Learn More About the Multiplicity Webinar

A research rarely involves just one single statistical test. And multiple testing can result in statistically significant findings just by chance. After all, with the typical Type I error rate of 5% used in most tests, we are allowing ourselves to “get lucky” 1 in 20 times.

There are a number of ways to control for this chance significance. And as with most things statistical, determining a viable adjustment to control for the chance significance depends on what you are doing. Some approaches are good. Some are not so good. And, sometimes an adjustment isn’t even necessary.

Join Elaine Eisenbeisz as she provides an overview of multiple comparisons and why they can be a problem. She will explain the differences between family wise error rate (FWER) and false discovery rate (FDR). Elaine will also present many options for adjusting statistical tests and explain why pre-planning the corrections, if any, for your study is paramount to a robust research study.

6-Hour Virtual Webinar: Statistics for Process Control

August 19, 2021

Learn More About the Statistics for Process Control Webinar

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 information (data) that is objective, unbiased, and useful for decision making. An emphasis will be placed on the set-up and use of control charts.

The objective of the seminar is to provide information that can be used immediately by personnel involved in production operations, and by supervisors and management in decision making. Although the presentation involves use of statistical techniques, presentation of statistical theory will be limited to only what is needed by the attendees to understand and implement processes and monitoring tools within the statistical framework.

Presented examples will include an emphasis on the manufacturing processes and quality assurance needs of product in the medical device and pharmaceutical industries.

Process control is constantly evolving. Therefore, historical concepts, current trends and regulatory requirements will be discussed. The presentation of statistical charts and analyses, graphical techniques for planning, trouble-shooting and problem solving will also be presented.

2-Hour Virtual Webinar: Hypothesis Testing, P-Values, and Inference: When Thinking Like a Statistician Makes Sensel

August 24, 2021

Learn More About the Hypothesis Testing, P-Values & Inference Webinar

Do you become tongue tied when explaining the meaning of a p-value? Would you like to know why the null hypothesis is so important to research? Why don’t studies prove anything? Are your pretty sure about what you want to say in plain English, but you’re not sure how to say it statistically?

This webinar will briefly review the history of scientific method. We will explore the steps involved in developing a research question that can be tested with statistical hypotheses. Examples of research questions and hypotheses that can and cannot be tested will be presented.

A brief lesson in statistical theory will explain why we don’t prove anything in research, we can only make really, really, good guesses…providing we look at the problem the right way. We will also discuss three ways of interpretation that in combination can be used for better decision making, namely, p-values, effect sizes, and confidence intervals.

90 Minute Webinar: Calculations for Process and Product Capability

October 21, 2021

Learn More About the Calculations for Process and Product Capability Webinar

Companies involved on manufacturing and development perform inspection and testing for acceptance as relates to design, quality, or consumer criteria. These tests and inspections are performed on samples which may be collected at various times in the manufacturing process, including design verification, process validation, or quality control of incoming or outgoing product.

Attendees of this webinar will learn the theory, terminology, regulatory requirements, best practices, and of course, the formulas for calculating common process capability indices 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 to know the appropriate measures and formulas to use for the various types of process data (attribute or variable).


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