| Subject: | Statistical Quality Control |
| Degree: | Department of Statistics and Insurance Science / University of Piraeus |
| PhD: | Department of Statistics and Insurance Science / University of Piraeus PhD Thesis: Subjects on Statistical Information Theory and Actuarial Science |
| Research Interests: | Biostatistics, Clinical Trials, Statistical Information Theory, Statistical Process Control |
| Office: | 220, 2nd Floor, Building Β |
| Contact with students: | Monday 12:00-15:00 |
| E-mail: | asachlas@uth.gr |
| Personal Webpage: | https://www.athanasios-sachlas.com/ |
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.
- Sachlas, A. and Bersimis, S. (2022). Surveilling Public Health Through Statistical Process Monitoring: A
Literature Review and a Unified Framework, Communications in Statistics: Case Studies, Data Analysis and
Applications, DOI: 10.1080/23737484.2022.2087121. - Sachlas, A., Bersimis, S. and Psarakis, S. (2019). Risk-Adjusted Control Charts: Theory, Methods, and
Applications in Health, Statistics in Biosciences, 11, 630–658 - Bersimis, S. and Sachlas, A. (2019). An One-Sided Procedure for Monitoring Variables De ned on
Contingency Tables, Journal of Quality Technology, 51 (2), 125-142. - Bersimis, S., Sachlas, A. and Papaioannou, T. (2017). Monitoring Phase II Comparative Clinical Trials with
Two Endpoints and Penalty for Adverse Events, Methodology and Computing in Applied Probability, 20 (2),
719-738. - Bersimis, S., Sachlas, A. and Bagos, P. (2016). Discriminating Membrane Proteins Using the Joint
Distribution of Length Sums of Success and Failure Runs, Statistical Methods & Applications, 26 (2),
251–272. - Bersimis, S., Sachlas, A. and Papaioannou, T. (2015). Flexible Designs for Phase II Comparative Clinical
Trials Involving Two Response Variables, Statistics in Medicine, 34 (2), 197-214. - Sachlas, A. P. and Papaioannou, T. (2014). Residual and past entropy in actuarial science and survival
models, Methodology and Computing in Applied Probability, 16 (1), 79-99.
