Time-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals-Reference-Cited by-同舟云学术

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Time-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals

Published:2013-07-19 Issue:20 Volume:33 Page:3466-3487
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Almirall Daniel¹,Griffin Beth Ann²,McCaffrey Daniel F.²,Ramchand Rajeev²,Yuen Robert A.³,Murphy Susan A.¹³⁴

Affiliation:

1. Institute for Social Research; University of Michigan; Ann Arbor MI 48104 U.S.A.

2. RAND Corporation; Pittsburgh PA U.S.A.

3. Department of Statistics; University of Michigan; Ann Arbor MI 48104 U.S.A.

4. Department of Psychiatry; University of Michigan; Ann Arbor MI 48104 U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5892/fullpdf

Reference53 articles.

1. Subgroups analysis when treatment and moderators are time-varying;Almirall;Prevention Science,2011

2. Structural nested mean models for assessing time-varying effect moderation;Almirall;Biometrics,2009

3. History-adjusted marginal structural models to estimate time-varying effect modification;Petersen;American Journal of Epidemiology,2007

4. Invited commentary on ‘history-adjusted marginal structural models to estimate time-varying effect modification’;Robins;American Journal of Epidemiology,2007

5. Response to invited commentary on ‘history-adjusted marginal structural models to estimate time-varying effect modification’;Petersen;American Journal of Epidemiology,2007

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