Perelman School of Medicine Events Calendar

April 20, 2012

Robert W. Neumar, MD, PhD
Emergency Medicine
"Reducing Brain Injury After Cardiac Arrest"

CLINICAL NEUROSCIENCE TRAINING SEMINAR 

Robert W. Neumar, MD, PhD
Emergency Medicine
"Reducing Brain Injury After Cardiac Arrest"

Speaker:Nicholas H Heintz, PhD  Affiliation: University of Vermont College of Medicine, Department of Pathology

Co-sponsored with the Leonard Davis Institute of Health Economics

Dr. Jeffrey Brenner, MD is a family physician that has worked in Camden, NJ for the past twelve years. Dr Brenner owned and operated a solo-practice, urban family medicine office that provided full-spectrum family health services to a largely Hispanic, Medicaid population including delivering babies, caring for children and adults, and doing home visits. His life’s goal is ensure that all families who live in urban, underserved communities receive high quality, culturally competent, personalized family health care.

Recognizing the need for a new way for hospitals, providers, and community residents to collaborate he founded and has served as the Executive Director of the Camden Coalition of Healthcare Providers since 2003. The Camden Coalition is a non-profit organization, committed to improving the quality, capacity, and accessibility of the healthcare delivery system in Camden. Dr Brenner’s work is dependent on building complex collaborations amongst three highly competitive hospitals, two local FQHC’s, social service providers, and small private medical offices in Camden. Through the Camden Coalition, local stakeholders are working to build an integrated, health delivery model to provide better care for Camden City residents

RSVP:  https://docs.google.com/spreadsheet/viewform?formkey=dEViaU9GdjBRdVJRZjl1bERGanVyVFE6MQ

Bending the Cost Curve and Improving Quality in One of America's Poorest Cities - Camden, NJ

Location: G55, Huntsman Hall, 36th and Walnut
Co-sponsored with the Leonard David Institute of Health Economics 

Dr. Jeffrey Brenner, MD is a family physician that has worked in Camden, NJ for the past twelve years. Dr Brenner owned and operated a solo-practice, urban family medicine office that provided full-spectrum family health services to a largely Hispanic, Medicaid population including delivering babies, caring for children and adults, and doing home visits. His life's goal is ensure that all families who live in urban, underserved communities receive high quality, culturally competent, personalized family health care.

Recognizing the need for a new way for hospitals, providers, and community residents to collaborate he founded and has served as the Executive Director of the Camden Coalition of Healthcare Providers since 2003. The Camden Coalition is a non-profit organization, committed to improving the quality, capacity, and accessibility of the healthcare delivery system in Camden. Dr Brenner's work is dependent on building complex collaborations amongst three highly competitive hospitals, two local FQHC's, social service providers, and small private medical offices in Camden. Through the Camden Coalition, local stakeholders are working to build an integrated, health delivery model to provide better care for Camden City residents.

Biochemistry and Biophysics

presents

Friday Research Discussions

Kathryn Wellen, Ph.D

Assistant Professor of Cancer Biology

"Acetyl-CoA as a Link between Metabolism and Epigenetics"

April 20, 2012

4pm

Johnson Founation Library

Anatomy-Chemistry Building, Room 248

"Statistical Methods for Cost-Effectiveness Analysis Using Observational Data"

Elizabeth Handorf
Ph.D. Candidate
Division of Biostatistics
Department of Biostatistics and Epidemiology

Dissertation Advisors: Daniel Heitjan, PhD, Nandita Mitra, PhD
Dissertation Committee Chair: Reneé Moore, PhD
Dissertation Committee Member: Justin Bekelman, MD

Abstract: Observational studies are a useful resource for evaluating the cost and cost-effectiveness of medical treatments, but the results are subject to bias from measured and unmeasured confounding. Furthermore, skewed outcomes, censoring, and correlation between costs and effects complicate the estimation of the treatment effect. It is therefore important to use an appropriate model, and to assess the sensitivity of the results to the effects of unmeasured confounders.

We describe several methods for estimating the Net Monetary Benefit (NMB): linear regression, generalized linear models, parametric and semi-parametric survival methods, and non-parametric estimates with propensity score stratification. Using simulations, we compare the performance of the models for analysis of skewed and censored cost and survival data. We find that correctly specified non-linear parametric models provide the best estimates, and that linear regression is insufficient for censored data.

Further, we propose sensitivity analysis procedures for the treatment effect on cost and NMB. Using a Gamma GLM for cost and a Weibull model for survival, we derive closed-form relationships between the regression parameters based on observed data, and those which account for an unmeasured confounder. Our general formulas allow for any unmeasured confounder which can be characterized using a moment-generating function, and also allow for separate unmeasured confounders to influence cost and survival.

We apply our methods to SEER-Medicare data to compare treatments for bladder cancer and prostate cancer.