Pregnant women can consume caffeine within current guidelines without health risks, trumpeted recent headlines about a DBEI-led study. But those results, like many in this field, pertained to the health of just one of the stakeholders.

Although mammography reduces breast cancer mortality by 15 to 20 percent, the diagnosis in many cases — approximately 15 percent of all breast cancers — occurs after a patient has a negative mammogram and before her next recommended screening. These are “interval cancers,” and they carry big implications.
ALSO: Read about how Dr. McCarthy's team concentrates especially on the higher risks that confront women of color.

Michael Levy, PhD, has played a pivotal role in researching and commenting on the potential harm of evictions — and the mitigating role that eviction moratoria can play — during the Covid-19 pandemic. Here we present a few highlights of this work.

Tuberculosis remains the world's number one cause of death from a single infection. And for TB patients who are also HIV-positive, mortality risk is up to four times higher. How much can an ideal drug regimen improve their chances?

As pressures mount to reopen U.S. businesses that were shuttered to prevent COVID-19 spread, a pressing question is, at what level of government should these judgments be made? A new model of disease transmission shows that city- and county-level characteristics have significant impact.

Researchers often seek to predict outcomes, detect distinct subgroups within their data, or estimate causal treatment effects. But in empirical analyses, outcomes with many observed zeros can complicate these tasks. PhD candidate Arman Oganisian recently led development of a method that helps researchers faced with such outcomes.

Unmeasured confounding almost always exists in observational studies—and it can bias our analysis of the effects we see in patients. These new findings can point researchers in various situations toward the best statistical methods to combat dominant types of unmeasured confounders.