People v. Cancer

People of lower socioeconomic status face higher cancer death rates than their counterparts. African American men suffer the highest cancer incidence rate of any racial or ethnic group. But these gaps in cancer care can be addressed through policy. What does the case of Medicaid expansion reveal about cancer disparities in America? And what will … Continue reading People v. Cancer

Solid machine learning model predicts new HIV cases using EHR data

Incredible new research from Harvard and Kaiser contributed two substantial leaps forward this summer: first in the useful application of machine learning predictions using electronic health records and second in the accurate targeting of people who can benefit the most from HIV pre-exposure prophylaxis. This paper in Lancet HIV by Marcus and colleagues is so good … Continue reading Solid machine learning model predicts new HIV cases using EHR data

Press: ACA Medicaid expansion eliminated racial disparities in timely cancer treatment

This post has a summary of press coverage about results from a research study from Flatiron Health and Yale, following the Plenary Session presentation at ASCO 2019. We learned that Affordable Care Act (ACA) Medicaid expansion was associated with reduction in racial disparity in timely treatment of advanced cancer. Results were reported in the The … Continue reading Press: ACA Medicaid expansion eliminated racial disparities in timely cancer treatment

How to replicate visualization of trajectory towards UNAIDS 90-90-90 goals

In this tutorial, you’ll gain access to the R code, dataset, and motivation to replicate data visualizations in my latest paper and apply the concepts to your next one. I sat on an airplane last year, flipping through The Economist, when I froze at the sight of a tiny chart littered with a mess of … Continue reading How to replicate visualization of trajectory towards UNAIDS 90-90-90 goals