Applied Statistics for Scientists and Engineers
Details
Throughout 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries, the application of statistical methods are specified for: setting validation criteria and specifications, performing measurement systems analysis (MSA), conducting stability analysis, using design of experiment (DOE) for process development and validation, developing process control charts, and determining process capability indices.
Different statistical methods are required for each of these particular applications. Data and tolerance intervals are common tools used for setting acceptance criteria and specifications. Simple linear regression and analysis-of-covariance (ANCOVA) are used for setting expiries and conducting stability analysis studies. Two-sample hypothesis tests, analysis-of-variance (ANOVA), regression, and ANCOVA are methods used for analyzing designed experiment for process development and validation studies. Descriptive statistics (distribution, summary statistics), run charts, and probability (distributions) are used for developing process control charts and developing process capability indices.
This course provides instruction on how to apply the appropriate statistical approaches: descriptive statistics, data intervals, hypothesis testing, ANOVA, regression, ANCOVA, and model building. Once competence in each of these areas is established, industry-specific applications are presented for the participants.
Why should you attend:21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries specify the application of statistical methods across the product quality lifecycle.
According to the Quality System Regulation (QSR) for medical devices, "Where appropriate, each manufacturer shall establish and maintain procedures for identifying valid statistical techniques required for establishing, controlling, verifying the acceptability of process capability and product characteristics." Although there are many statistical method that may be applied to satisfy this portion of the QSR, there are some commonly accepted methods that all companies can and should be using to develop acceptance criteria, to ensure accurate and precise measurement systems, to fully characterize manufacturing processes, to monitor and control process results and to select an appropriate number of samples.
According to both 21 CFR and guidance documents, the need for statistical methods is well established from discovery through product discontinuation. 21 CFR specifies the "the application of suitable statistical procedures" to establish both in-process and final specifications. The guidance documents necessitate the application of statistical methods for development and validation of measurement systems, process understanding using Quality by Design (QbD) principles, process validation, as well as ensuring the manufacturing process is in control and is capable.
This course provides instruction statistical methods for data analysis of applications related to the pharmaceutical, biopharmaceutical, and medical device industries.
Areas Covered in the Session:Objectives:- describe and analyze the distribution of data
- develop summary statistics
- generate and analyze statistical intervals and hypothesis tests to make data-driven decisions
- describe the relationship between and among two or more factors or responses
- understand issues related to sampling and calculate appropriate sample sizes
- use statistical intervals to setting specifications/develop acceptance criteria
- use Measurement Systems Analysis (MSA) to estimate variance associated with: repeatability, intermediate precision, and reproducibility
- ensure your process is in (statistical) control and capable
This seminar is designed for pharmaceutical, biopharmaceutical, and medical device professionals who are involved with product and/or process design:
- Process Scientist/Engineer
- Design Engineer
- Product Development Engineer
- Regulatory/Compliance Professional
- Design Controls Engineer
- Six Sigma Green Belt
- Six Sigma Black Belt
- Continuous Improvement Manager
Event link: https://www.globalcompliancepanel.com/seminar/-901996SEMINAR?channel=speedycourse-mar_2020_SEO
Contact Info:
Netzealous LLC - Globalcompliancepanel
Phone No: 1-800-447-9407
Fax: 302 288 6884
Email: [email protected]
Website: https://www.globalcompliancepanel.com/
GlobalCompliancePanel is a training source that delivers diverse, high quality regulatory & compliance trainings. These trainings are simple while being relevant and cost-effective while being convenient.
GlobalCompliancePanel imparts knowledge of best practices across a broad range of user-friendly mediums such as webinars, seminars, conferences and tailored, individualized consulting. These help organizations and professionals implement compliance programs that meet regulatory demands and put business processes in place.
GlobalCompliancePanel focuses primarily on providing extensive and quality training in these core areas and anything related to them:- Risk Management
- Regulatory Compliances
- Corporate Governance
- Quality Management
Through the mediums by which we offer trainings, namely webinars, seminars, conferences and consulting, we bring together the regulators or experts on regulation on the one hand, with the community that needs to learn or be aware of those regulations, on the other.
Professionals who undergo trainings from GlobalCompliancePanel exhibit a vastly improved quality of life in which there is increased productivity and professional growth. In the 10 years for which it has been in the professional trainings industry; GlobalCompliancePanel has developed a rich legacy of courses. It boasts an amazingly large repertoire of 5000 courses, which consist of over 2000 in-person seminars. ...
Related Courses
