Because Data Can't Speak for Itself: A Practical Guide to Telling Persuasive Policy Stories
People with important evidence-based ideas often struggle to translate data into stories their readers can relate to and understand.
People with important evidence-based ideas often struggle to translate data into stories their readers can relate to and understand.
Over 2009-2019 the seemingly inexorable rise in health care’s share of GDP markedly slowed, both in the US and elsewhere.
There is a growing amount of evidence that machine learning (ML) algorithms can be used to develop accurate clinical risk scores for a wide range of medical conditions.
As a major public health crisis, the opioid epidemic caused over 556,000 deaths in the U.S. between 2000 and 2020.
Regulators of new products confront a tradeoff between speeding a new product to market and collecting additional product quality information.
Abstract Introduction The COVID-19 pandemic focused attention on city parks as important public resources. However, monitoring park use over time poses practical challenges.
This article examines the consequences and causes of low enrollment of Black patients in clinical trials.
Politics and science have become increasingly intertwined.
This contribution surveys significant contributions technological innovations have made to humans' economic and material welfare, the seminal analysis made by noted economists, and the supportive poli
Background Prior research indicates that female physicians spend more time working in the electronic health record (EHR) than do male physicians. Objective To examine gender differences in EHR usage
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