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

Evaluating Options for Non-Responders: A SMART Approach to Enhancing Weight Loss

a PSC Research Project

Investigator:   Daniel Almirall

Dr. Almirall will serve as Consortium PI at the University of Michigan. He will advise the project team on the design, conduct, and analysis of the SMART design for this weight loss study. Specifically, during an in-person visit to Health Partners in Year 1 of the study and on once-monthly phone calls thereafter, Dr. Almirall will advise on methodological and analytic issues that may arise during the conduct of a SMART, including advising the PI (Dr. Sherwood) and the project statistician (Dr. Crain) on a) a plan that anticipates common contingencies (such as treatment drop-out) and the implications of this for the design of the embedded adaptive interventions as well as data analysis, b) issues related to the distinction between treatment outcomes (early response/non-response rate) and blind, study outcomes, c) study consent in the conduct of SMART, d) how to set up the blocked-stratified sequential randomizations (this is unique for SMART studies), e) the distinction between, and measurement of, baseline and time-varying tailoring variables and how they can be used to devise a more deeply-tailored adaptive intervention for weight loss, and f) Dr. Almirall will advise the PI and the project statistician on the use of appropriate data analysis methods specific to data arising from SMART (e.g., weighted-and-replicated regression and Q-Learning regression). He will also contribute to manuscripts.

Funding Period: 08/19/2014 to 07/31/2019

Search . Browse