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Presentation on multilevel modeling using Stata, July 26th, noon, 6050 ISR

Frey's new report explores how the changing US electorate could shape the next 5 presidential elections, 2016 to 2032

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

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PSC Brown Bags
will resume fall 2016

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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