We consider the effects of "precision" screening policies for cancer guided by algorithms. We first show that complex machine learning models can indeed predict cancer better than simpler models that use established risk factors. We then tackle the evaluation challenge: an algorithm that can...

Mental health disorders tend to emerge in childhood, with half starting by age 14. This makes early intervention important, but treatment rates are low, and antidepressant treatment for children remains controversial since an FDA warning in 2004 that highlighted adverse effects. Linking...

We investigate the impact of adjuvant radiation therapy (RT) treatment on the labor market outcomes of breast cancer patients. In order to address the endogeneity in receipt of adjuvant radiotherapy, we use a 2SLS strategy that exploits plausibly exogenous variation in RT treatments due to...