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Surprising findings on what influences unintended pregnancy from Wise, Geronimus and Smock

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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, March 13, 2017, noon:
Rachel Best

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This PSC Archive record is displayed for historical reference.

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