Sharon-Lise Normand

Sharon-Lise Normand, PhD

S. James Adelstein Professor of Health Care Policy (Biostatistics), Department of Health Care Policy, Harvard Medical School; Professor of Biostatistics, Department of Biostatistics, Harvard School of Public Health
A Bayesian Two-Part Latent Class Model for Longitudinal Medical Expenditure Data: Assessing the Impact of Mental Health and Substance Abuse Parity.
Authors: Neelon BH, O’Malley AJ and Normand S-LT
Biometrics
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Development, Validation, and Results of a Measure of 30-Day Readmission Following Hospitalization for Pneumonia
Authors: Lindenauer PK, Normand S-LT, Drye EE, et al.
Journal of Hospital Medicine
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Improvement in Mortality Risk Prediction After Percutaneous Coronary Intervention Through the Addition of a “Compassionate Use” Variable to the National Cardiovascular Data Registry CathPCI Dataset: A Study from the Massachusetts Angioplasty Registry.
Authors: Resnic FS, Normand S-LT, Piemonte TC, et al.
Journal of the American College of Cardiology
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Effect of Insurance Parity on Substance Abuse Treatment
Authors: Azzone V, Frank RG, Normand SL, et al.
Psychiatric Services
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Incentive Formularies: Spending and Utilization for 3 Common Drug Classes
Authors: Landon, BE, Rosenthal M, Normand S-L, et al.
The American Journal of Pharmacy Benefits
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Impact of Independent Data Adjudication on Hospital-Specific Estimates of Risk-Adjusted Mortality Following Percutaneous Coronary Interventions in Massachusetts
Authors: Zelevinsky K, Lovett RN, Normand S-LT, et al.
Circulation Cardiovascular Quality and Outcomes
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Variability in the measurement of hospital-wide mortality rates.
Authors: Shahian DM, Wolf RE, Iezzoni LI, et al.
New England Journal of Medicine
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The comprehensive care project: measuring physician performance in ambulatory practice.
Authors: Holmboe ES, Weng W, Arnold G, et al.
Health Services Research
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A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use.
Authors: Neelon B, O’Malley AJ and Normand S-LT
Statistical Modelling
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Automated surveillance to detect postprocedure safety signals of approved cardiovascular devices.
Authors: Resnic FS, Gross TP, Marinac-Dabic D, et al.
Journal of the American Medical Association
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