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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 19 at noon, 6050 ISR
Rob Stephenson

Trivellore Raghunathan photo

Statistical Infrastructure for Combining Information from Multiple Data Sources

a PSC Research Project [ARCHIVE DISPLAY]

Investigator:   Trivellore Raghunathan

Over the past several years the principal investigator of this proposal has been involved in developing methods for combining information from multiple data sources. These methods can be enhanced and become more useful if a proper computational infrastructure implementing them were made available to substantive researchers.The end product of this proposal will be a software infrastructure (built upon the existing infrastructure developed by the principal investigator) and will be downloadable via web by health researchers. The user of this software will input two or more data sets, list all the variables to be analyzed from these data sets, specify the statistical model to test a research hypothesis and the software will create multiply imputed data sets, fit the analytical model on each data set, combine the inferences and disseminate the results in an user-friendly output of the analysis results.

Funding Period: 09/24/2009 to 08/31/2012

This PSC Archive record is displayed for historical reference.

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