CCTST Grand Rounds
From Quality Control to Disease Screening and Surveillance
Peihua Qiu, PhD
Professor and Founding Chair
Department of Biostatistics
University of Florida
View recording (CME not available)
Read Dr. Qiu's book, Introduction to Statistical Process Control
- Explain some basic concepts and methods about quality control.
- Recognize the risks of using statistical methods without checking their assumptions properly.
- Describe some recent methods used for disease screening and surveillance.
Target audience: physicians, other health practitioners, researchers, community health advocates.
The University of Cincinnati is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The University of Cincinnati designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
We are concerned about the quality of a product or performance of a system (e.g., operation of a hospital) on a daily basis. To address these concerns, control charts in statistical process control (SPC) provide a major tool. The conventional control charts, such as the Shewhart, CUSUM and EWMA charts, were developed about half a century ago or even earlier, and require many assumptions on the observed data. Their results are usually unreliable in practice because their assumptions can hardly be satisfied, although these charts are routinely used in many surveillance or quality control systems. In this talk, we will demonstrate these facts using some examples, and provide an overview of recent methodologies available in the literature that might be more appropriate to use. We will also briefly introduce some recent SPC methodologies for disease screening and disease surveillance.
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