Sachlas Athanasios

Applied Probability and Statistics

Statistics, Probability, Biostatistics, Applied Statistics, Clinical Trials Methodology

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 first degree from the Department of Statistics and Insurance Science of the University of Piraeus, in 2001.

During the period 2016-2018, he was a post-doctoral researcher at the Department of Statistics of the Athens University of Economics and Business on Stochastic Models of Multivariate Statistical Process Control for Medical Processes and Health Service Provision Processes. The post-doctoral research he carried out at the Department of Statistics and Insurance Science of the University of Piraeus in the period 2014-2015, under the title “Advanced Stochastic Models of Multivariable Statistical Process Control for Non-Industrial Processes”, was funded by the Ministry of Education, Lifelong Learning and Religions in the framework of the EXCELLENCE II (ARISTEIA II) program of the General Secretariat of Research and Technology.

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 49 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.

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 Statistics in Health Sciences, he deals with, among other things, the construction and weighting of questionnaires, the evaluation of the quality of life, the study of sleep and eating habits, metabolic syndrome, and stress.

Finally, he has worked with the OECD and the European Healthcare Fraud & Corruption Network (EHFCN) on issues of corruption in public health services at the local level.