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

PSC In The News

RSS Feed icon

The Economist cites Inglehart in piece on strength of populists

Ela and Budnick find higher unintended pregnancy risk among non-heterosexual women

Patrick, Schulenberg et al. find trends in frequent binge drinking among teens vary by race, sex, SES

More News

Highlights

Bailey, Eisenberg , and Fomby promoted at PSC

Former PSC trainee Eric Chyn wins PAA's Dorothy S. Thomas Award for best paper

Celebrating departing PSC trainees

Bloome finds children raised outside stable 2-parent families more likely to become low-income adults, regardless of parents' income

More Highlights

Daniel Almirall photo

Structural Nested Mean Models for Assessing Time-Varying Effect Moderation

Publication Abstract

Almirall, Daniel, Thomas Ten Have, and Susan A. Murphy. 2010. "Structural Nested Mean Models for Assessing Time-Varying Effect Moderation." Biometrics, 66(1): 131-139.

This article considers the problem of assessing causal effect moderation in longitudinal settings in which treatment (or exposure) is time varying and so are the covariates said to moderate its effect. Intermediate causal effects that describe time-varying causal effects of treatment conditional on past covariate history are introduced and considered as part of Robins' structural nested mean model. Two estimators of the intermediate causal effects, and their standard errors, are presented and discussed: The first is a proposed two-stage regression estimator. The second is Robins' G-estimator. The results of a small simulation study that begins to shed light on the small versus large sample performance of the estimators, and on the bias-variance trade-off between the two estimators are presented. The methodology is illustrated using longitudinal data from a depression study.

DOI:10.1111/j.1541-0420.2009.01238.x (Full Text)

PMCID: PMC2875310. (Pub Med Central)

Country of focus: United States of America.

Browse | Search : All Pubs | Next