Causal Inference for Time-Varying Instructional Treatments

92 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Causal diagrams for interference (2014, background): “Others have written about the interference that arises from assigning children to classrooms and assigning classrooms to educational interventions (Graham, Imbens and Ridder, 2010; Hong and Raudenbush, 2008; VanderWeele et al., 2013).”
Converging Evidence for Neighborhood Effects on Children's Test Scores: An Experimental, Quasi-experimental, and Observational Comparison* (2010, unknown): “3 All of the time-varying covariates in the PHDCN analysis are controlled using inverse probability of treatment weighting (IPTW) as introduced by Robins, Hernan, and Brumback (2000) and extended to the multilevel setting by Hong and Raudenbush (2008).”
Marginal Mean Weighting Through Stratification: Adjustment for Selection Bias in Multilevel Data (2010, background): “…& Scheuren, 1983), adjustment can be made through assigning to each unit a weight that is inversely proportional to the unit’s propensity of having the treatment actually received (Robins, 1986, 2000; Rosenbaum, 1987; for an application to multilevel educational data, see Hong & Raudenbush, 2008).”