Across education systems internationally, school leaders are increasingly required to use data to demonstrate improvement (Selwyn, 2019; Allen et al., 2018). Attendance, attainment, behaviour ...
For decades, macroeconomics in Sri Lanka has operated in a Government of reactive panic. Sudden commodity price spikes, ...
The U.S. Food and Drug Administration (FDA) has finalized guidance on clinical investigations for psychedelic drugs, clarifying trial issues ...
Background Antimicrobial resistance (AMR) remains a global public health threat contributing to over 1.27 million deaths in 2019. The knowledge, attitude and practices (KAP) on AMR among medical ...
Explore quantitative analysis in finance; understand how it applies math and statistics to improve investment choices and ...
Objective To apply large language models (LLMs) to Reddit posts referencing SLE to identify patient-expressed unmet medical ...
Introduction Afghanistan has experienced decades of war, political instability, displacement, poverty and structural upheaval, all of which are likely to have contributed to the population’s ...
The Quantitative Ecology group studies and advances quantitative methods related to statistical, simulation, and analytical modeling of natural systems at multiple levels of biological organization ...
Our Handbooks describe the process of preparing and maintaining diverse types of systematic reviews. Handbooks are updated regularly to reflect advances in systematic review methods and in response to ...
Objective Evaluation of the Medical Mediation Foundation’s Conflict Management Programme (CMP)—a structured process for managing conflict. Design Mixed-methods evaluation using Kirkpatrick’s framework ...
Background: Data collected in controlled settings typically results in high-quality datasets. However, in real-world applications, the quality of data collection is often compromised. It is well ...
Modern businesses run on data. Companies regularly capture, store and analyze large amounts of quantitative and qualitative data on consumer behavior, to which they can apply predictive analytics to ...