Tuesday, August 4
Assessing Effects of Interventions in
Section on Health Policy
Longitudinal Naturalistic Data
Organizer: Douglas Faries of Eli Lilly
Statistics Speaker with Lunch
Assessing Causal Treatment Effects
2009 Joint Statistical Meetings, Washington DC, August 1–6
in Longitudinal Naturalistic Data,
featuring Douglas Faries of Eli Lilly
Considerations in Applying
Aligning Provider Incentives:
Marginal Structural Models to
Pay for Performance and Beyond
Analyze Longitudinal Naturalistic
Data, featuring Ouhong Wang
Wednesday, August 5
of Amgen
12:30 p.m. to 1:50 p.m.
Event #WL09, $40 per person
Maximum Likelihood Estimation of
the Structural Nested Mean Model,
Meredith B. Rosenthal, Associate Professor
featuring Daniel Almirall of Duke
of Health Economics and Policy, Department
University
of Health Policy and Management, Harvard
School of Public Health
Estimating Volume-Outcome
Associations from Longitudinal
Naturalistic Data, featuring
Abstract: At the beginning of the decade, the Institute of Medicine
Benjamin French of the University
shone an unfavorable spotlight on the health care reimbursement
of Pennsylvania
system in the United States, highlighting its perverse reinforcement
of patterns of care that result in high costs and patient harm. Since
Data Mining Techniques for
that time, there has been a surge in the adoption of performance- Longitudinal Naturalistic Data, fea-
based incentives by a variety of payers. Experimentation with and
turing Anthony Zagar of Eli Lilly
debate about pay for performance has had an important side effect:
renewed interest in broader payment reforms. In this presentation,
Wednesday, August 5
I will describe the experience with pay for performance and survey
Innovative Methods and Findings from
the landscape of subsequent provider payment innovations in the
Health Care Assessment Surveys
Organizer: Alan Zaslavsky of Harvard
United States (or renovations, perhaps). I will conclude with a dis-
Medical School
cussion about the strengths, weaknesses, and prospects for genuine
reform along the lines of current proposals and pilot efforts.
Using the Census Bureau’s Surname
List to Improve Estimates of Race/
Meredith B. Rosenthal is associate professor of health economics
Ethnicity and Associated Disparities,
and policy in the Department of Health Policy and Management featuring Marc N. Elliott of RAND
at the Harvard School of Public Health and a 2006 Sloan Industry
Fellow. Rosenthal earned her PhD in health policy at Harvard
Methodological Issues in the
University in 1998. Her research examines the design and impact
Analysis of Responses to CAHPS
of market-based health policy mechanisms, with a particular focus
Questions in the MEPS, featuring
Paul Gorrell of Social & Scientific
on the use of financial incentives to alter consumer and provid-
Systems, Inc.
er behavior. She is currently working on a body of research that
examines alternative models for reforming physician and hospital
Optimal Survey Design When
payment. Specific empirical projects include evaluations of several
Nonrespondents Are Subsampled
Patient-Centered Medical Home pilots, pay-for-performance initia- for Follow-Up in a Comparative
tives, and an episode-based payment system. Study, featuring A. James O’Malley
of Harvard Medical School
A Simulation Study of Design
Effect Approximations for
Propensity-Score Weighted Data
76 AmstAt News JUNE 2009
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