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

Thank You – We will be in touch!

Contact Elaine!








 

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
• Statistical Considerations for ICH Guidelines

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
• 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.

Upcoming Events

2-Day Live Seminar: Statistical Elements of Implementing ICH Quality Guidelines

(ICH Q Series)

February 1st and 2nd, 2024 – Virtual Seminar

Learn More About the ICH Quality Guidelines Seminar

Most organizations have programs and procedures but they contain holes or fall short in the implementation of the tools and techniques used to apply proper statistical reasoning and analysis to ICH guidelines. Statistics can help you to better understand, implement, and track processes covered by the ICH guidelines.

This 2-day seminar explores the unique challenges facing quality functions of pharmaceutical and biotechnology companies. Attendees will learn practical implementation solutions as well as best practice descriptions that will allow management to effectively assess, manage and mitigate risk of poorly designed studies. Participants will learn statistical methods related to ICH guidelines and will discover how regulatory agencies, such as the FDA expect organizations to meet these guidelines.

This seminar will provide attendees with an understanding of the fourteen ICH Quality guidelines as relates to statistical guidance and analysis. The course will provide tools, techniques and insight that will allow participants to immediately begin implementation of the information learned within their organization/firm.

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