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Estimation of Direct and Indirect Causal Effects in Longitudinal Studies

Laan, Mark van der; Petersen, Maya - Berkeley Electronic Press - 2004

The causal effect of a treatment on an outcome is generally mediated by several intermediate variables. Estimation of the component of the causal effect of a treatment that is mediated by a given intermediate variable (the indirect effect of the treatment), and the component that is not mediated...

Persistent link: https://www.econbiz.de/10005751451

History-Adjusted Marginal Structural Models and Statically-Optimal Dynamic Treatment Regimens

Laan, Mark van der; Petersen, Maya; Joffe, Marshall - In: International Journal of Biostatistics 1 (2005) 1, pp. 1003-1003

Marginal structural models (MSM) provide a powerful tool for estimating the causal effect of a treatment. These models, introduced by Robins, model the marginal distributions of treatment-specific counterfactual outcomes, possibly conditional on a subset of the baseline covariates. Marginal...

Persistent link: https://www.econbiz.de/10005752619

Orthogonal main effect plans for two and three factors in small blocks

Eccleston, J.; John, J. - In: Metrika 43 (1996) 1, pp. 203-211

Persistent link: https://www.econbiz.de/10005756214

The effects of family stressors on substance use initiation in adolescence

Fletcher, Jason; Sindelar, Jody - In: Review of Economics of the Household 10 (2012) 1, pp. 99-114

Persistent link: https://www.econbiz.de/10010867592

Simple and reliable estimators of coefficients of interest in a model with high-dimensional confounding effects

Galbraith, John W.; Zinde-Walsh, Victoria - In: Journal of econometrics 218 (2020) 2, pp. 609-632

Persistent link: https://www.econbiz.de/10012483173

Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs

Nha Vo-Thanh; Goos, Peter; Schoen, Eric D. - 2016

Persistent link: https://www.econbiz.de/10011729923

Symmetry breaking in mixed integer linear programming formulations for blocking two-level orthogonal experimental designs

Nha Vo-Thanh; Jans, Raf; Schoen, Eric D.; Goos, Peter - In: Computers & operations research : and their … 97 (2018), pp. 96-110

Persistent link: https://www.econbiz.de/10011872896

Health selection and the effect of smoking on mortality

Adda, Jérôme; Lechene, Valérie - In: The Scandinavian journal of economics 115 (2013) 3, pp. 902-931

Persistent link: https://www.econbiz.de/10009778313

Estimating causal effects with optimization-based methods : a review and empirical comparison

Cousineau, Martin; Verter, Vedat; Murphy, Susan A.; … - In: European journal of operational research : EJOR 304 (2023) 2, pp. 367-380

Persistent link: https://www.econbiz.de/10013534525

Formal covariate benchmarking to bound omitted variable bias

Basu, Deepankar - 2023

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking after...

Persistent link: https://www.econbiz.de/10014430784