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个人简介
Athanasios Sachlas received his Ph.D. in Statistics from the Department of Statistics and Insurance Science, University of Piraeus, in 2010. He received his Master’s degree in Applied Statistics (specializing in Biostatistics and Statistical Quality Control) in 2004 from the University of Piraeus and his degree from the Department of Statistics and Insurance Science of the University of Piraeus, in 2001.
His research interests include Biostatistics, Clinical Trials, Health Economics, Epidemiology, Big Data Analysis, Demography, Actuarial Science, Statistical Information Theory, and Statistical Process Control. He mainly deals with the development and application of stochastic models of process supervision (process quality, clinical trials, biosurveillance, disease surveillance, quality of services and health services, etc.) as well as with the theory of flows and formations. In the field of application of Statistics in Health Sciences, he mainly deals with the construction and weighting of questionnaires, the evaluation of the quality of life, the study of sleep and eating habits, metabolic syndrome, stress, etc.
He has written 6 books in Greek with subjects Applied Statistics and Statistical Machine Learning using the programming languages R & Python and IBM SPSS Statistics, Statistical Process Control, Applied Statistics in Health Sciences, Introduction to Statistics and Probability. In addition, he has written 47 articles (Statistical methodology and application of Statistics in health sciences) in international scientific journals, while more than 100 of his papers have been presented at international and Panhellenic conferences.
研究兴趣
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Anastasios Ioannidis,Stylianos Chatzipanagiotou,Niki Vassilaki,Polyvios Giannakopoulos, Despina Hatzaki,Maria Magana,Athanasios Sachlas,George Mpekoulis, Alexandros Radiotis, Michail Tsakanikos,Georgina Tzanakaki,Evangelia Lebessi,
Microorganismsno. 3 (2023): 545-545
STATISTICS IN BIOSCIENCESno. 2 (2023): 384-396
Research in Statisticsno. 1 (2023)
SSRN Electronic Journal (2022)
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Handbook of Scan Statisticspp.1-21, (2020)
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