Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Former trainee Herbert says residential squatters may be a good thing

Work by Couper, Farley et al. shows impact of racial composition on neighborhood choice

Thompson details killings and shaping of official narrative in 1971 Attica prison uprising

More News

Highlights

Michigan ranked #12 on Business Insider's list of 50 best American colleges

Frey's new report explores how the changing US electorate could shape the next 5 presidential elections, 2016 to 2032

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

Next Brown Bag

PSC Brown Bags
will resume fall 2016

Susan A. Murphy photo

Marginal Mean Models for Dynamic Regimes

Publication Abstract

Murphy, Susan A., M.J. Van Der Laan, J.M. Robins, and and Conduct Problems Research Group. 2001. "Marginal Mean Models for Dynamic Regimes." Journal of the American Statistical Association, 96(456): 1410-1423.

A dynamic treatment regime is a list of rules for how the level of treatment will be tailored through time to an individual's changing severity. In general, individuals who receive the highest level of treatment are the individuals with the greatest severity and need for treatment. Thus, there is planned selection of the treatment dose. In addition to the planned selection mandated by the treatment rules, staff judgment results in unplanned selection of the treatment level. Given observational longitudinal data or data in which there is unplanned selection of the treatment level, the methodology proposed here allows the estimation of a mean response to a dynamic treatment regime under the assumption of sequential randomization.

Browse | Search : All Pubs | Next