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

PSC In The News

RSS Feed icon

Hindustan Times points out high value of H-1B visas for US innovation, welfare, and tech firm profits

Novak, Geronimus, Martinez-Cardoso: Threat of deportation harmful to immigrants' health

Students from two worlds learn from one another in Morenoff's Inside-Out class

More News

Highlights

Heather Ann Thompson wins Pulitzer Prize for book on Attica uprising

Lam explores dimensions of the projected 4 billion increase in world population before 2100

ISR's Nick Prieur wins UMOR award for exceptional contribution to U-M's research mission

How effectively can these nations handle outside investments in health R&D?

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