A conversation including 39 questions with Anirban Basu

A. James O’Malley1, Aasthaa Bansal2
1The Department of Biomedical Data Science and The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, USA
2The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, School of Pharmacy, University of Washington, Seattle, USA

Tóm tắt

At the 2018 International Conference on Health Policy Statistics (ICHPS) held in Charleston, South Carolina, Anirban Basu was awarded the Mid-Career Excellence Award from the American Statistical Association Section on Health Policy Statistics (HPSS). Anirban was exceptionally and uniquely qualified for this award. Highlights include his providing outstanding service to the HPSS, advancing statistical methodology, advancing methodology in other domains of health policy, and performing extensive and highly impactful applied work in medicine and health care. In this interview, we trace Anirban’s upbringing, schooling, early career, and mid-career phases to gain insights into his success. We also sought his opinions on salient topics or issues.

Từ khóa


Tài liệu tham khảo

Basu, A.: Person-Centered Treatment (PeT) effects using instrumental variables: An application to evaluating prostate cancer treatments. J. Appl. Econom. 29, 671–691 (2014)

Basu, A.: Welfare implications of learning through solicitation versus diversification in health care. NBER Working paper # 20367. J. Health Econ. 42, 165–173 (2015)

Basu, A., Meltzer, D.: Implications of spillover effects within the family for medical cost-effectiveness analysis. J. Health Econ. 24, 751–773 (2005)

Basu, A., Meltzer, D.: Value of information on preference heterogeneity and individualized care. Med. Decis. Mak. 27, 112–127 (2007)

Basu, A., Rathouz, P.: Estimating marginal and incremental effects on health outcomes using flexible link and variance function models. Biostatistics 6, 93–109 (2005)

Basu, A., Meltzer, H., Dukic, V.: Estimating transitions between symptom severity states over time in schizophrenia: a Bayesian meta-analytic approach. Stat. Med. 25, 2886–2910 (2006)

Basu, A., Heckman, J., Navarro-Lozano, S., Urzua, S.: Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients. York Health Econometrics and Data Group (HEDG) Working Paper 07/07 (with Editorial). Health Econ. 16, 1133–1157 (2007)

Basu, A., Jena, A., Philipson, T.: Impact of comparative effectiveness research on health and healthcare spending. 2010 NBER Working Paper No. w15633. J. Health Econ. 30, 695–706 (2011)

Terza, J., Basu, A., Rathouz, P.: Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. J. Health Econ. 27, 531–543 (2008)