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Axinn says data show incidents of sexual assault start at 'very young age'

Miech on 'generational forgetting' about drug-use dangers

Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

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Highlights

Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

Expanding the National Health Accounts

a PSC Research Project [ARCHIVE DISPLAY]

Investigators:   Sandeep Vijan, Trivellore Raghunathan, Kenneth M. Langa, Marcia Ann Valenstein, Kara Zivin, Michael P. Wellman

The University of Michigan contract includes work on Cores B and C, and on Projects 3 and 5. These components are described below, as are the roles of key personnel at University of Michigan.

Core B - Data Management Core: The goal of this core is to acquire and create the infrastructure needed to produce analytic datasets suitable to address the aims of all five research projects. Many of the data resources that will be used in the program project are publicly available and in relatively usable format, but substantial processing is often required to overcome some limitations.

Core C - Modeling Core: We will build models of disease processes for common diseases of the elderly, synthesizing this information at the patient level. These models will focus on care for cardiovascular disease (Project 3), cancer (Project 4), and mood disorders (Project 5). To ensure that outputs are comparable across models, Core C will develop and implement a standardized set of assumptions for these disease models.

Project 3- The Value of Interventions for Cardiovascular Disease : This project will assess trends in the value of cardiovascular disease interventions over time. We will build models estimating the value of spending on coronary heart disease (CHD) and stroke. This will be done by documenting trends, developing microsimulation models relating trends in risk factors and use of medical therapies to trends in health. We will integrate the coronary heart disease and stroke models to obtain a single model of cardiovascular disease using dynamic Influence Diagrams to evaluate a potential method for integrating multiple diseases in the future.

Project 5- The Value of Interventions for Depression: We will examine whether the value of depression care has changed over time using cross-sectional and longitudinal data from the Health and Retirement Study. Knowledge of the value of depression care can be of great use for making and refining mental health care policy in the US.

Funding Period: 08/01/2010 to 04/30/2011

Country of Focus: USA

This PSC Archive record is displayed for historical reference.

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