In today's data-driven world, making informed decisions is crucial for success. Design of Experiments (DoE) provides a structured approach to investigate relationships between variables, eliminating guesswork of what is important, leading to reliable outcomes. DoE enhances efficiency by allowing simultaneous examination of multiple factors, saving time and providing a comprehensive understanding of systems.
Professionals across various fields greatly benefit from using DoE. Scientists and researchers can conduct rigorous experiments, engineers can optimize manufacturing processes, pharmaceutical professionals can develop new treatments, and marketers can understand consumer behavior better. Mastering DoE is essential for effective decision-making, efficiency, and innovation.
To harness the full potential of DoE, consider attending our 2-Day Virtual Seminar on Design of Experiments. Elaine Eisenbeisz, Owner of Omega Statistics, will provide practical insights and demonstration of DOE models. Minitab statistical software will be used in the training. Whether you’re a scientist, engineer, marketer, or industry professional, this seminar will equip you with the skills to implement DoE effectively, driving success in your field.
Learning Objectives:
By the end of this seminar, participants will be equipped with the skills and requisite knowledge to effectively apply Design of Experiments in their work, leading to improved decision-making, efficiency, and innovation.
- Foundational Knowledge: Gain an understanding of the core principles and concepts of DoE.
- Experiment Planning: Develop the ability to effectively plan and design experiments, selecting appropriate variables and design types.
- Data Analysis Skills: Learn to analyze experimental data using statistical software and interpret results accurately.
- Practical Application: Apply DoE techniques to real-world problems, enhancing problem-solving skills and practical knowledge.
- Optimization: Understand how to use DoE for process optimization, improving efficiency, and achieving better outcomes.
- Best Practices: Learn best practices and strategies for implementing DoE in various professional fields.
- Advanced Techniques: Explore some of the advanced DoE techniques and their applications in complex scenarios.
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
Who will Benefit:
- Research Scientists and Laboratory Technicians: Working in fields such as pharmaceuticals, biotechnology, and environmental science, these professionals can use DoE to conduct rigorous and efficient experiments, optimizing research outcomes.
- Manufacturing Engineers and Quality Control Specialists: In industries like automotive, electronics, and consumer goods, these professionals can apply DoE to improve product quality, streamline processes, and reduce waste.
- Data Analysts and Statisticians: Employed in sectors such as finance, marketing, and healthcare, these experts can leverage DoE to design experiments that yield actionable insights and drive data-informed decisions.
- Product Development Managers: In industries like food and beverage, cosmetics, and software development, these managers can use DoE to innovate and refine products, ensuring they meet customer needs and regulatory standards.
- Agricultural Scientists and Horticulturists: Working in agriculture and plant science, these professionals can utilize DoE to optimize crop yields, study plant growth, and improve sustainable farming practices.
- Clinical Trial Coordinators and Biostatisticians: In medical research and clinical trials, these specialists can use DoE to design efficient trials, analyze data accurately, and ensure the reliability of results.
- Session 1 - Introduction to Design of Experiments
- Importance and applications of DoE
- Basic principles and terminology
- Session 2 - Simple Comparative Experiments
- Simple comparative experiments
- Sample size determination and power
- Coffee Break
- Session 3 - Experiments with a Single Factor (One-way ANOVA)
- One-factor experiments with multiple levels
- Multiple comparisons and random effects models
- Lunch Break
- Session 4 - Blocking Designs
- Randomized complete block designs (RCBD)
- Latin square designs and their extensions
- Q&A Session
- Session 5 - Factorial Designs
- Factorial designs with two treatment factors
- Main effects and interactions
- Session 6 - Factorial Designs
- Simplest case and estimated effects
- 2k factorial designs
- Coffee Break
- Session 7 - Advanced Experimental Designs
- Fractional factorial designs
- Response surface methodology (RSM)
- Lunch Break
- Session 8 – Regression Analysis in DoE
- Regression analysis
- Q&A and Closing Remarks
Elaine Eisenbeisz
Owner, Omega Statistics
Elaine Eisenbeisz is a seasoned statistician and owner of Omega Statistics, a consulting firm in Southern California. With over 30 years of experience, she has crafted data solutions for diverse industries including government, corporate, and startups. Elaine holds a B.S. in Statistics from UC Riverside and a Master’s Certification from Texas A&M.
Elaine has designed methodologies for clinical, biotech, and healthcare studies and worked as a contract statistician for pharmaceutical and medical device research. She collaborates with private researchers, CROs, and biotech startups, and has partnered with major companies like Allergan, Guardant Health, Daiichi Sankyo and Nutri-System. Her work is published in peer-reviewed journals, showcasing her expertise in statistical methodology and analysis.
Elaine excels in making statistics understandable and has published and contributed to numerous publications across a diverse field of research. Elaine is a member of the American Statistical Association and Mensa, and her firm boasts an A+ BBB rating. Learn more about Elaine and her offerings at www.OmegaStatistics.com.
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6201 America Center Drive Suite 240
San Jose, CA 95002
USA
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Payment:
Payment is required 2 days before the date of the conference. We accept American Express, Visa and MasterCard. Make checks payable to MetricStream Inc. (our parent company).Cancellations and substitutions for In-person Seminars:
Written cancellations through fax or email (from the person who has registered for this conference) received at least 10 calendar days prior to the start date of the event will receive a refund - less a $300 administration fee. No cancellations will be accepted - nor refunds issued - within 10 calendar days before the start date of the event.On request by email or fax (before the seminar) a credit for the amount paid minus administration fees ($300) will be transferred to any future ComplianceOnline event and a credit note will be issued.
Substitutions may be made at any time. No-shows will be charged the full amount.
We discourage onsite registrations, however if you wish to register onsite, payment to happen through credit card immediately or check to be submitted onsite. Conference material will be given on the spot if it is available after distributing to other attendees. In case it is not available, we will send the material after the conference is over.
In the event ComplianceOnline cancels the seminar, ComplianceOnline is not responsible for any airfare, hotel, other costs or losses incurred by registrants. Some topics and speakers may be subject to change without notice.
