Signal Detection for Medical Scientists (PDF)
This book presents the data mining techniques with focus on likelihood ratio test (LRT) based methods for signal detection. It emphasizes computational aspect of LRT methodology and is pertinent for first-time researchers and graduate students venturing into this interesting field.
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This book presents the data mining techniques with focus on likelihood ratio test (LRT) based methods for signal detection. It emphasizes computational aspect of LRT methodology and is pertinent for first-time researchers and graduate students venturing into this interesting field.
Dr. Jyoti Zalkikar is in the Office of Biostatistics at the Food and Drug Administration (FDA)'s Center for Drug Evaluation and Research (CDER). Her team supports the Division of Imaging and Radiation Medicine in CDER's Office of New Drugs. Dr. Zalkikar received her PhD in Mathematics (with Statistics track) from the University of California at Santa Barbara in 1988. She subsequently joined the faculty of the Department of Statistics at Florida International University in Miami, Florida, and worked there until she joined FDA/CDER in 2001. Dr. Zalkikar also served in this Division of Biostatistics in Center for Devices and Radiological Health, and Office of Science in Center for Tobacco Products during her delegations. She has published about 40 papers in the statistical/clinical literature covering areas in Bayesian statistics, Reliability
Dr. Lan Huang received her Ph.D. in Statistics from University of Connecticut in 2004. From 2004 to 2009, Dr. Huang worked on cancer surveillance at national cancer institute (NCI). Dr. Huang joined FDA in 2009 as a statistical reviewer. She has reviewed submissions for both therapeutic and diagnostic products/devices and has participated in regulatory research for methodologies to improve the quality of review in statistical analysis in clinical trials and safety surveillance in CDER and CDRH.
- Autoren: Ram Tiwari , Jyoti Zalkikar , Lan Huang
- 2021, 1. Auflage, 244 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 0429521928
- ISBN-13: 9780429521928
- Erscheinungsdatum: 24.06.2021
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- Dateiformat: PDF
- Größe: 3.79 MB
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