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Dimitris Papadopoulos and Vangelis D. Karalis
Sample size is a key factor in bioequivalence and clinical trials. An appropriately large sample is necessary to gain valuable insights into a designated population. However, large sample sizes lead to increased human exposure, costs, and a longer time f...
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Traianos-Ioannis Theodorou, Alexandros Zamichos, Michalis Skoumperdis, Anna Kougioumtzidou, Kalliopi Tsolaki, Dimitris Papadopoulos, Thanasis Patsios, George Papanikolaou, Athanasios Konstantinidis, Anastasios Drosou and Dimitrios Tzovaras
In recent years, the area of financial forecasting has attracted high interest due to the emergence of huge data volumes (big data) and the advent of more powerful modeling techniques such as deep learning. To generate the financial forecasts, systems ar...
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Evelina Pappa, Nick Kontodimopoulos, Angelos Papadopoulos, Yannis Tountas and Dimitris Niakas
Unmet health care needs are determined as the difference between the services judged necessary and the services actually received, and stem from barriers related to accessibility, availability and acceptability. This study aims to examine the prevalence ...
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Evelina Pappa, Nick Kontodimopoulos, Angelos A. Papadopoulos, Georgia Pallikarona, Dimitris Niakas and Yannis Tountas
Data from a Greek national representative sample was used to investigate socio-demographic, self-perceived health, and health risk factors that determine the use of cardiovascular preventive tests (blood pressure, cholesterol and blood glucose). Chi-squa...
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