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Miech on 'generational forgetting' about drug-use dangers

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

MTF data show 10% of 19-20 year-olds report bouts of drinking 10-plus alcoholic beverages

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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"

Hierarchical Linear Models

Archived Abstract of Former PSC Researcher

Raudenbush, Stephen W., and A.S. Bryk. 2002. Hierarchical Linear Models. Sage, Thousand Oaks.

New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory and use of hierarchical linear models (HLM). New material in Part I (Logic) includes information on multivariate growth models, an expanded number of illustrative examples, further data analytic advice on centering of level-1 predictors, and discussion of plausible value intervals and robust standard errors. Part III (Advanced Applications) is entirely new. Bryk's name appears first on the previous edition. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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