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Marcos' research areas include data linkage methods and tools for massive and/or multimodal datasets ... Tengyao has worked on applications including medical statistics, financial data analysis and ...
A new sophisticated statistical analysis from an economics professor at Dartmouth University indicates that there is a high probability that COVID-19 originated from a lab accident in China, rather ...
Formal methods are mathematical techniques used to ensure the correctness and reliability of software, particularly in critical applications like medical devices. These methods provide a ...
This five-day short course will give you a comprehensive introduction to the fundamental aspects of research methods and statistics. It's suitable for those new to quantitative research. You'll look ...
Research in the data science area is concerned with the development of new machine learning and statistical methods, and their applications. The areas of applications include the design of novel ...
However, people remembered the key stroke warning signs (face, arm ... Research in family medicine is vital for improving patient care, health care systems, and population health. However ...
Moreover, there is no clear methodological guidance to identify and display gaps. Objective This study aimed to explore how key stakeholders define research gaps and characterise methods/practices ...
Fewer assumptions are made when using these methods, such as machine learning or statistical learning, than when using classical methods. Consequently, the data play a larger role in the ...