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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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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"

psc brown bag iconPredicting Survival of Older Adults: Findings from a Biosocial Survey

Noreen Goldman (Office of Population Research and Woodrow Wilson School of Public and International Affairs, Princeton University)

09/10/2012, at noon in room 6050 ISR-Thompson.

Researchers frequently use statistical models that incorporate social and demographic covariates to predict survival. Based on data from a biosocial survey in Taiwan, I explore the extent to which mortality prediction improves with the inclusion in such models of non-standard biological and clinical parameters; measures of physical performance; and global health ratings made by interviewers and physicians. Some surprising results emerge.


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