Home > Research . Search . Country . Browse . Small Grants

PSC In The News

RSS Feed icon

Bound, Geronimus, et al. find estimates of decreasing longevity among low-SES whites sensitive to measures and interpretations

Thompson casts doubt on the rehabilitative intentions of prison labor

Inglehart says European social democracy is a victim of its own success

More News

Highlights

U-M participants at PAA Annual Meeting, April 27-29

Heather Ann Thompson wins Bancroft Prize for History for 'Blood in the Water'

Michigan ranks in USN&WR top-10 grad schools for sociology, public health, labor economics, social policy, social psychology

Paula Lantz to speak at Women in Health Leadership Summit, March 24, 2:30-5:30 Michigan League

More Highlights

Next Brown Bag

Mon, April 10, 2017, noon:
Elizabeth Bruch

Daniel Almirall photo

Adaptive Interventions for Minimally Verbal Children with ASD in the Community

a PSC Research Project

Investigators:   Daniel Almirall, Susan A. Murphy, Inbal Nahum-Shani

This project will construct an adaptive intervention that uses two interventions (JASP-EMT and CORE- DTT) that have shown promise for optimizing the number of unique socially communicative and spontaneously spoken words in minimally verbal children with Autism Spectrum Disorder. The study utilizes a novel sequential multiple assignment-randomized trial to evaluate and construct an optimal adaptive intervention. A total of 192 minimally verbal school aged children with an ASD, aged 5 to 8 years of age, will participate across four sites: University of California Los Angeles, University of Rochester, Vanderbilt University and Weill Cornell Medical Center, with methodological and statistical support from University of Michigan. Under this subcontract, Daniel Almirall and Susan Murphy will handle all methodological aspects of the proposed study, participate in all scientific aspects of the project, and oversee all training/educational activities to take place at U-M.

Funding Period: 09/04/2012 to 05/31/2017

Search . Browse