Selecting Right Statistical Tools to Solve Problems

Many pharma and biotech professionals and regulators point out that statistics is a necessary tool and yet many pharma organizations do not make proper use of the tool. Many of the reasons for the slow adoption of statistical thinking and methods in the past are no longer relevant today (Hoerl and Snee 2012). The Internet combined with effective and easy-to-use software and new learning and application methods, have greatly broadened and increased the use and effectiveness of statistical thinking and methods. These trends and their benefits are the subject of this webinar.

Lack of use of any effective tool can often be linked to lack of understanding of the tool, the benefits of the use of the tool and how to implement the tool. We see this when we hear questions like: “What statistical tools should my organization be using? What statistical methods do the regulators want us to use? A better approach is to identify the need, the question to be answered; then the appropriate tools are easier to identify. This approach and the associated concepts and methods involved will be introduced and illustrated with pharmaceutical and biotech case studies and examples.

Areas Covered in the Session :

• How to Ask effective questions such as what data should we use to better develop products and operate processes
• How to Quickly understand the purpose and value of a tool
• How to Speed up the learning process to use statistical tools more effectively
• How to Link statistical tools together to produce useful problem solutions
• Better understanding of the role of statistical software in the implementation of statistical thinking and methods

Who Should Attend:

• Department Managers
• Quality Engineers
• Research and Development Scientists
• Biologists and Microbiologists
• Process and Manufacturing Engineers
• Quality Assurance Personnel
• Executives
• Supply Chain Professionals
• Accounting Professional