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!
Currently Available Offerings:
2-Day (In-Person or Virtual) Seminars/Workshops:
NOTE: In-person events are not being scheduled at this time
• 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
• Statistical Considerations for ICH Guidelines
6-Hour Virtual Webinars:
• 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:
• Applied Time Series Analysis in Health Care
• Statistical Elements of PK/PD Analysis
90 Minute or 2-Hour Virtual Webinars:
• Is my Data Normal? Normality Tests and Transformations
• Multiple Imputation for Missing Data
• Power Analysis and Sample Size
• Equivalency and Non-Inferioirty Tests
• 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
• ICH-GCP: Elements of Good Clinical Practice
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.
6-Hour Virtual Webinar: Statistics for Process Control
April 13, 2023
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.
90 Minute Webinar: Calculations for Process and Product Capability
May 18, 2023
Learn More About the Calculations for Process and Product Capability Webinar
Companies involved in 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).
2-Day Virtual Seminar: Biostatistics for the Non-Statistician
June 15th and 16th, 2023
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.
