Lab Meetings


Irina, Christine, and Savannah at the Lab's first Data Jamboree "Never has sitting in the same room and working with others had a title so fun." @christinebaugh

Irina, Christine, and Savannah at the Lab's first Data Jamboree

"Never has sitting in the same room and working with others had a title so fun." @christinebaugh

May 25 End of Semester Event
April 27 Identifying and measuring utilization of new technologies in Medicare claims data, Jean Biniek
March 23 Clustering health utilization trajectories, Megan Schuler
February 23 Doing field work, Christine Baugh
January 26 Pitching your research, Laura Hatfield / Sherri Rose


December 1 Scoping out and managing randomized evaluations: Lessons from J-PAL North AmericaJamie Daw
October 20 Developing risk scores for mental disorders, AJ Rosellinislides
September 29 Akritee Shrestha, slidesSavannah Bergquistslides
August 25 Risk scores for cardiovascular disease, Ian Nason
July 7 Affordability in cost-effectiveness analysis, Alyssa Bilinski
June 9 Loss functions in safety decision making, Laura Hatfield
May 5 Data Science and healthcare solutions at IBM Watson Health, Kevin Tran
April 7 Transgender health curriculum integration, Alex Maher
February 25 Parallel programming, Anas El Turabi
January 21 Health care trajectory modeling, Laura Hatfield & Nina Joyce

Carrie, Jake, and Sam science-ing

Carrie, Jake, and Sam science-ing


December 3 Variation in sports medicine staffing and clinician patient load at NCAA colleges, Christine Baugh
November 12 Control group selection, Jamie Daw
October 15 Upcoding: Evidence from Medicare on Squishy Risk Adjustment, Tim Layton
September 17 Arkansas Payment Improvement Initiative, Caitlin Carroll
August 27 Pre-analysis Plans, Sherri Rose
July 23 Exploring Sweave: Adventures in Reproducible Research Tools, Savannah Bergquist [Demo]
June 16
Welcome to the lab

Lab Member Presentations


December 19, 2016 Sherri Rose presented on statistical learning for (global) public health and policy in the Quality and Responsiveness Lab at Harvard T.H. Chan School of Public Health.

December 16, 2016 Akritee Shrestha presented her work on mental health spending risk adjustment using clinical categories and machine learning during her biostatistics master's thesis defense. She aced it! 

November 18, 2016 Lab faculty member Laura Hatfield presented her work on modeling hierarchical variance with Kronecker structure, with application to quality measures in Medicare Advantage at University of Washington's Department of Statistics.

November 10, 2016 Sherri Rose co-taught a short course on targeted learning at Columbia University's Causal Inference Conference.

November 8, 2016 Savannah Bergquist presented in the Health Policy PhD Program Research Seminar on her dissertation work in Medicare risk adjustment.

November 3, 2016 Laura Hatfield spoke at the APPAM 2016 Pre-Conference Workshop on "Modeling insurance choice for the Medicare population" in Washington, DC.

October 27, 2016 Lab faculty member Sherri Rose presented her work in computational health economics and health outcomes research at Harvard Medical School's Health Care Policy Advisory Council Meeting.

October 20, 2016 Lab student Savannah Bergquist presented in the Harvard Health Economics Seminar on her dissertation work on computational health economics with normative data.

October 15, 2016 Sherri Rose presented on "Machine Learning and Biostatistics for Public Health" in an invited session she organized on the societal impact of statistical science at the annual SACNAS meeting in Long Beach, CA. She also spent time recruiting students for the Harvard Summer Program in Biostatistics and Computational Biology as well as Harvard's PhD programs in Health Policy and Biostatistics.

September 22, 2016 Laura Hatfield gave a talk on "Incorporating decision-maker loss functions in safety monitoring" at Brigham Young University's Statistics Department in Provo, UT.

September 8, 2016 Sherri Rose spoke about "Targeted Statistical Learning for Health Care Spending" in an invited session at the Royal Statistical Society International Meeting in Manchester, UK.

August 3, 2016 Lab faculty member Laura Hatfield spoke about "Varying relationships between beneficiary traits and quality measures affect comparisons in Medicare Advantage" in a topic contributed session at the Joint Statistical Meetings in Chicago, IL.

August 2, 2016 Lab student Jamie Daw presented "Matching and regression to the mean in the difference-in-differences design" in a SPEED session at the Joint Statistical Meetings in Chicago, IL.

August 1, 2016 HCP Seidman Fellow Megan Schuler gave a talk on "Characterizing heterogeneity in patient treatment preferences" in an invited session at the Joint Statistical Meetings in Chicago, IL.

July 20, 2016 Sherri Rose participated in the Pipelines into Biostatistics Visiting Faculty Workshop in the Department of Biostatistics in the Harvard T.H. Chan School of Public Health where she shared her work on "Machine Learning in Biostatistics and Health Policy" with faculty from minority-serving institutions.

June 27, 2016 Laura Hatfield presented on a panel "Using Bayesian Analysis to Produce Better and More Useful Estimates of Intervention Impacts" at the AcademyHealth Annual Research Meeting in Boston, MA.

June 14, 2016 Laura Hatfield presented a poster on "Incorporating regulator loss functions in hospital safety decision making" at the ISBA World Meeting in Sardinia, Italy.

June 5, 2016 Sherri Rose presented "Ensembles for Health Care Economics Research" in the Data Science group at the Fred Hutchinson Cancer Research Center.

May 25, 2016 Sherri Rose was an invited panelist at the International Society for Pharmacoeconomics and Outcomes Research annual meeting in Washington, DC, where she presented and discussed ensembling methods for health spending.

March 29, April 5, & April 11, 2016 Sherri Rose presented "A Robust Machine Learning Approach for Variable Importance in Health Spending" in the Harvard Health Economics SeminarMcGill University Biostatistics Seminar, and Brown University Statistics Seminar.


December 15 HCP Seidman Fellow Megan Schuler presented "Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies" in the Seidman Fellowship Seminar Series at Harvard Medical School.

November 9 Lab faculty member Laura Hatfield presented "Methods Toolkit: Health Services, Outcomes Research, and Policy Analysis" in the Harvard Catalyst course T3/T4 Research: Translating Effective Interventions into Practice. Download the slides.

October 20 Lab faculty Laura Hatfield presented "Microsimulation for health policy research" in the Harvard Health Economics seminar. Download the slides.

October 14 HCP Seidman Fellow Megan Schuler co-taught a short course on observational data methods at the Addiction Health Services Research Conference in Marina del Rey, CA.

October 8-9 Several members of the Lab presented at the International Conference on Health Policy Statistics in Providence, RI.

Laura Hatfield: Tailoring Treatment Information Using Personal Characteristics and Health Outcome Preferences.

Sherri Rose: A Machine Learning Framework to Prevent 'Gaming' in Plan Payment Risk Adjustment.

Megan Schuler: Propensity Score Weighting Methods for a Continuous Treatment in a Multilevel Data Setting.

September 30 Lab faculty Laura Hatfield and Sherri Rose taught a half-day short course Methods for Multiple Treatment Comparisons at the MDEpiNet Annual Meeting in Silver Spring, MD. Download the slides.

September 28 Lab faculty member Sherri Rose gave a presentation on health policy data science for the U.S. Department of Veteran's Affairs new "Big Data Scientist Training Enhancement Program" kick-off meeting. Download the slides. Watch the webinar here, presentation 4 [0:44:25].

August 12-13 Several members of the Health Policy Data Science Lab presented their work at the Joint Statistical Meetings in Seattle, Washington.

Laura Hatfield: Modeling Multiple Outcomes to Inform Patient Treatment Decisions. Download the slides.

Megan Schuler: Implementing Propensity Score Methods: A Review of the Statistical Software. Download the slides.

Sherri Rose: Machine Learning Techniques for Plan Payment Risk Adjustment.

July 23  Health Policy PhD student Savannah Bergquist presented an overview of Sweave at HPDS Lab meeting. Download the slides and the demo file.

July 20 Lab faculty member Laura Hatfield visited the Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College to give a seminar on Incorporating regulator loss functions for safety signal escalation. Download the slides.