Staff Profiles

Amelia M. Haviland

Pittsburgh Office

Statistician

Education

Ph.D. in statistics and public policy, Carnegie Mellon University

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Overview
Civil Justice

Related RAND Resources

Biography

Amelia Haviland (Ph.D., Statistics and Public Policy, Carnegie Mellon University) is a Statistician at RAND. Her research focuses on quality measurement, causal analysis with observational data, and analysis of longitudinal and complex survey data applied to health, educational, and economic outcomes. Examples of her recent work include evaluating AHRQ's Patient Safety Initiative, designing a national study of consumer directed health care, and expanding methods for creating minimum mean squared error composite estimates from combining probability and non-probability samples. In current work, Dr. Haviland is assessing quality measures for Medicare Advantage and Special Needs Plans and exploring the connections between patient safety measures and recent reductions in medical malpractice claims.

Research Focus

Health disparities; Research design; Analyzing complex sample data; Causality; Inequality; Analysis of observational data, propensity score analysis, latent trajectory group mixture modeling, nonparametrics, sampling, bootstrapping under complex sampling

RAND Research Areas

Civil Justice; Health and Health Care

Recent Projects

Impacts of High Deductible Health Insurance: A Large Scale Multi-Employer, Multi-Insurer Study
Disparities in Patient Experiences with Medicare Part D
Gang Membership and Violence: Causal Analysis with Latent Trajectory Mixture Models
The Relationship Between Patient Safety and Medical Malpractice in California

Selected Publications

Elliott, Marc, Haviland, Amelia, Kanouse, David, Hambarsoomian, Katrin, et al, "Adjusting for Subgroup Differences in Extreme Response Tendency in Ratings of Health Care: Impact on Disparity Estimate", Health Services Research Journal, 44(2) 542-561, 2009

Black, Dan, Haviland, Amelia M., Sanders, Seth, and Taylor, Lowell, "Gender Wage Disparities among the Highly Educated,", Journal of Human Resources, 43(2) 630-665, 2008

Greenberg, Michael, Haviland, Amelia, Yu, Hao, Farley, Donna, "Safety Outcomes in the United States: Trends and Challenges in Measurement", Health Services Research, 44(2p2) 739-755, 2008

Haviland, Amelia M., Nagin, Daniel, Rosenbaum, Paul, "Combining Propensity Score Matching and Group-Based Trajectory Analysis in an Observational Study", Psychological Methods, 12(3) 247-267, 2007

Holubkov, Richard, Laskey, Warren K., Haviland, Amelia M., et al.,, "Consumer-Directed Health Care: Early Evidence About Effects On Cost And Quality", Health Affairs, 25 516-530, 2006

Honors & Awards

Thomas Lord Scholarship Award, 2009 awarded by RAND Institute for Civil Justice
Fellowship for Younger Scholars, 2002-2003 awarded by MacArthur Foundation
Wray Jackson Smith Scholarship, 2002 awarded by American Statistical Association

Biography

Amelia Haviland (Ph.D., Statistics and Public Policy, Carnegie Mellon University) is a Full Statistician at RAND. She is interested in using data analysis to inform policy questions that span health, civil justice, and economics. In particular, Dr. Haviland's research focuses on causal analysis with observational data and analysis of longitudinal and complex survey data applied to economic, health, and crime outcomes. For instance, she has developed methods for estimating the effects of gang membership on pathways of delinquent behavior for at risk children (Haviland, Nagin, and Rosenbaum, 2007; Haviland and Nagin, 2007; Haviland and Nagin, 2005), investigated gender and race/ethnic wage disparities among the highly educated (Black, Haviland, et al, 2006, Black, Haviland, et al, 2008), and explored methods for creating minimum mean squared error composite estimates from combining probability and non-probability samples (Elliott and Haviland, 2007; Ghosh-Dastidar, Elliott, Haviland et al, forthcoming). In current work, Dr. Haviland is evaluating the impacts of OSHA inspections on workplace injury rate reduction; changes in health care costs, use, and quality associated with enrollment in high deductible health plans; connections between patient safety measures and recent reductions in medical malpractice claims; and consumer ratings of Medicare Special Needs Plans.