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Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures. Explores numerous recent analytic methodologies that enhance traditional techniques.
List of contents
1. Introduction. 2 Basic Statistical Concepts and Methods. 3. Basic Statistical Process Control Concepts and Methods. 4. Disease Screening by Dynamic Screening Systems. 5. Disease Screening by Online Disease Risk Monitoring. 6. R Package DySS for Dynamic Disease Screening. 7. Disease Surveillance by Some Retrospective Methods. 8. Disease Surveillance by Nonparametric Spatio-Temporal Data Monitoring. 9. R Package SpTe2M for Nonparametric Spatio-Temporal Data Modelling and Monitoring.
About the author
Peihua Qiu is Dean’s Professor and Founding Chair of the Department of Biostatistics at the University of Florida. He received his PhD in statistics from the Department of Statistics at the University of Wisconsin at Madison in 1996. He then worked as a senior research consulting statistician for the Biostatistics Center at the Ohio State University during 1996-1998, and as an Assistant Professor (1998-2002), Associate Professor (2002-2007), and Full Professor (2007-2013) of the School of Statistics at the University of Minnesota during 1998-2013. He was recruited to the University of Florida to develop its new Department of Biostatistics in 2013. Qiu has made substantial contributions in the research areas of jump regression analysis, image processing, statistical process control, survival analysis, dynamic disease screening, and spatio-temporal disease surveillance. So far, he has published two research monographs and over 160 research papers in refereed journals in these areas. He is an elected fellow of the American Association for the Advancement of Science (AAAS), an elected fellow of the American Statistical Association (ASA), an elected fellow of the American Society for Quality (ASQ), an elected fellow of the Institute of Mathematical Statistics (IMS), and an elected member of the International Statistical Institute (ISI). He served as associate editor for several top statistical journals, including Journal of the American Statistical Association, Biometrics, and Technometrics. He was the Editor-in-Chief of the flagship statistical journal Technometrics during 2014-2016.
Summary
Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures. Explores numerous recent analytic methodologies that enhance traditional techniques.
