A perfect storm of contemporary events has triggered deep angst about American democracy. Long-standing concern was exacerbated during the…
Among healthcare researchers, there is increasing debate over how best to assess and ensure the
fairness of algorithms used for clinical…
Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely…
/publications/guidance-unbiased-predictive-information-healthcare-decision-making-and-equity-guide-0
Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely…
/publications/megastudy-testing-25-treatments-reduce-antidemocratic-attitudes-and-partisan-animosity
Scholars warn that partisan divisions in the mass public threaten the health of American democracy. We conducted a megastudy (n = 32,059…
Importance Identifying and tracking new infections during an emerging pandemic is crucial to design and deploy interventions to protect…
This study aimed to characterize the prevalence of irritability among U.S. adults, and the extent to which it co-occurs with major…
Trust in nonpartisan news is essential to civil society—but is declining in the United States. However, language that demonstrates active…
Importance: Trust in physicians and hospitals has been associated with achieving public health goals, but the increasing politicization of…
In observational studies of discrimination, the most common statistical approaches consider either the rate at which decisions are made (…