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Almirall says comparing SMART designs will increase treatment quality for children with autism

Thompson says America must "unchoose" policies that have led to mass incarceration

Alter says lack of access to administrative data is "big drag on research"


Knodel honored by Thailand's Chulalongkorn University

Susan Murphy to speak at U-M kickoff for data science initiative, Oct 6, Rackham

Andrew Goodman-Bacon, former trainee, wins 2015 Nevins Prize for best dissertation in economic history

Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Next Brown Bag

Monday, Oct 12 at noon, 6050 ISR
Joe Grengs: Policy & planning for transportation equity

Mary Beth Ofstedal photo

Comparative Study of Physical Measures and Biomarkers in HRS and Its Sister Studies

a PSC Research Project [ARCHIVE DISPLAY]

Investigators:   Mary Beth Ofstedal, John Bound

This study proposes to make use of physical measures and biomarkers available in cross-national surveys to do the following: 1) Examine the validity of self-reported health measures for studying cross-population health differences by comparing distributions for the performance and self-reported measures across countries and across populations within country. Finding similar patterns in self-reported and physical performance measures will establish greater confidence in the validity of the self-reported measures. 2) Assess the extent to which physical measures and biomarkers predict various outcomes (onset of health events, mortality, retirement, etc.) net of self-reported health measures. Both of these issues speak to the value of incorporating physical measures and biomarkers in population-based research.

Funding Period: 07/01/2010 to 06/30/2011

Country of Focus: USA

This PSC Archive record is displayed for historical reference.

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