| Quality Goals, Requirements, and Specifications |
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Everyone agrees that there should be quality control. But what does that mean? When we implement new methods in our laboratories, or develop new methods, or try to establish regulatory guidelines for performance of methods, or even inspect laboratories to assure that good quality management practices have been implemented, how do we specify bias, CV, the number of controls, the levels, etc.? Dr. Westgard introduces a way to sort it all out. Please Login (at right) or Register to view article
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What's New

QC Design
- Total Allowable Error and the Brain to Brain Loop
- We need more data, more data, and more data
- Assuring Quality through Total Quality Management
- Quality Goals, Requirements, and Specifications
- Quality by Design
- Tools and Technology for QC Planning
- Mapping the Road to Analytical Quality
- Principles of QC Planning for Immunoassays
- From Rules and Tools to Technology and Training
- Errors in Reasoning about Laboratory Errors
- $aving the Cost$ of Poor Quality
- The Meaning and Application of Total Error
- Errors before the Laboratory


