My 2nd dissertation paper is finally out, with @timothyjlayton, @jwswallace, and @sherrirose! Take a look to see how to combine randomized and observational data while addressing potential unmeasured confounding in the observational study: https://t.co/BgF2MYhxLB
Interested in a summer internship and in building evidence to inform health policy decision-makers? Join Mathematica's data science summer internship program! https://t.co/ntzy79SzPH
Mathematica is hiring health economists! Come work on policy-impacting projects alongside collaborative, thoughtful colleagues! https://t.co/LV9E6AhGtE
@RWJE_BA@sherrirose@AnnualReviews@StanfordHP@HarvardBiostats@StanfordEpiNews@StanfordMed That paper makes a similar point to that in ours: representativeness (or at least representation) with respect to effect modifiers is important for inference on a population; namely, understanding average causal effects in a population (often important for decision-making).
Woot woot, our generalizability & transportability review is out, co-authored with @sherrirose! If you'd like to learn more about how to assess and address external validity bias, take a look: https://t.co/0CKgv9hgJq, https://t.co/UGvplWo1U2
Mathematica's looking for new statistician colleagues! I've really enjoyed the collaborative, mission-driven atmosphere filled with fun applied and methods challenges. Here's the link to apply: https://t.co/aWcZwTz3CX