Understanding PT Statistical Analysis and Evaluation
Oral Presentation
Prepared by C. Huff
ERA, 16341 Table Mountain Parkway, Golden, CO, 80403, United States
Contact Information: [email protected]; 303-463-3536
ABSTRACT
Proficiency Testing (PT) is a critical component of the laboratory accreditation process but it can also be utilized as a tool to demonstrate, monitor and improve the quality of data laboratories produce. Understanding how PT data is analyzed and evaluated plays a critical role in the success of any laboratory.
This presentation provides a comprehensive overview of the PT data evaluation process. Key topics discussed are:
- Statistical analysis of the data population (TNI criteria, z- scoring)
- Robust vs. Arithmetic mean and standard deviation.
- Outlier determination and treatment.
- Regression equations vs. fixed limits: Where do they come from and how are they derived?
- Data modality: What is it and how are multi-modal data handled?
- Assigned values: How are they determined?
- Data evaluation: What drives it and what does it mean?
- How are acceptance limits derived?
- Concentration ranges and their role in determining acceptance limits.
- Monitoring and trending your historical PT performance: Tools and value provided.
This presentation is designed to provide the PT participant with answers to many frequently asked questions and provide fundamental knowledge of PT statistics and data evaluation.
Oral Presentation
Prepared by C. Huff
ERA, 16341 Table Mountain Parkway, Golden, CO, 80403, United States
Contact Information: [email protected]; 303-463-3536
ABSTRACT
Proficiency Testing (PT) is a critical component of the laboratory accreditation process but it can also be utilized as a tool to demonstrate, monitor and improve the quality of data laboratories produce. Understanding how PT data is analyzed and evaluated plays a critical role in the success of any laboratory.
This presentation provides a comprehensive overview of the PT data evaluation process. Key topics discussed are:
- Statistical analysis of the data population (TNI criteria, z- scoring)
- Robust vs. Arithmetic mean and standard deviation.
- Outlier determination and treatment.
- Regression equations vs. fixed limits: Where do they come from and how are they derived?
- Data modality: What is it and how are multi-modal data handled?
- Assigned values: How are they determined?
- Data evaluation: What drives it and what does it mean?
- How are acceptance limits derived?
- Concentration ranges and their role in determining acceptance limits.
- Monitoring and trending your historical PT performance: Tools and value provided.
This presentation is designed to provide the PT participant with answers to many frequently asked questions and provide fundamental knowledge of PT statistics and data evaluation.
