Search Results - subject:"causal inference."

Erratum and discussion of propensity-score reweighting

Nichols, Austin - In: Stata Journal 8 (2008) 4, pp. 532-539

Persistent link: https://www.econbiz.de/10005748338

Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data

Young, Jessica G.; Hernán, Miguel A.; Robins, James M. - In: Epidemiologic Methods 3 (2014) 1, pp. 1-19

-parametrically, the extended g-formula differs from the (non-extended) g-formula of Robins (1986 , A new approach to causal inference in …

Persistent link: https://www.econbiz.de/10014590587

A Note on Formulae for Causal Mediation Analysis in an Odds Ratio Context

Tchetgen Tchetgen, Eric - In: Epidemiologic Methods 2 (2014) 1, pp. 21-31

Abstract In a recent article, VanderWeele and Vansteelandt (American Journal of Epidemiology, 2010, 172:1339–1348) (hereafter VWV) build on results due to Judea Pearl on causal mediation analysis and derive simple closed-form expressions for so-called natural direct and indirect effects in an...

Persistent link: https://www.econbiz.de/10014590588

Some Considerations on the Back Door Theorem and Conditional Randomization

Molina, Julieta; Pantazis, Lucio; Sued, Mariela - In: Epidemiologic Methods 3 (2014) 1, pp. 113-120

Abstract In this work, we propose a different “surgical modified model” for the construction of counterfactual variables under non-parametric structural equation models. This approach allows the simultaneous representation of counterfactual responses and observed treatment assignment, at...

Persistent link: https://www.econbiz.de/10014590598

Discussion of Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data , by Jessica Young, Miguel Hernán, and James Robins

van der Laan, Mark J.; Luedtke, Alexander R.; Díaz, Iván - In: Epidemiologic Methods 3 (2014) 1, pp. 21-31

Abstract Young, Hernán, and Robins consider the mean outcome under a dynamic intervention that may rely on the natural value of treatment. They first identify this value with a statistical target parameter, and then show that this statistical target parameter can also be identified with a...

Persistent link: https://www.econbiz.de/10014590603

Causal Inference for a Population of Causally Connected Units

van der Laan, Mark J. - In: Journal of Causal Inference 2 (2014) 1, pp. 13-74

Abstract Suppose that we observe a population of causally connected units. On each unit at each time-point on a grid we observe a set of other units the unit is potentially connected with, and a unit-specific longitudinal data structure consisting of baseline and time-dependent covariates, a...

Persistent link: https://www.econbiz.de/10014610794

Semiparametric Estimation of the Impacts of Longitudinal Interventions on Adolescent Obesity using Targeted Maximum-Likelihood: Accessible Estimation with the ltmle Package

Decker, Anna L.; Hubbard, Alan; Crespi, Catherine M.; … - In: Journal of Causal Inference 2 (2014) 1, pp. 95-108

based on the causal inference literature to examine the potential impacts of early intervention. The purpose of this … may not always be met. An alternative parameter to estimate is one motivated by the causal inference literature, which can … by the causal inference literature, using both parametric and semi-parametric estimation approaches. The parameters of …

Persistent link: https://www.econbiz.de/10014610805

The Deductive Approach to Causal Inference

Pearl, Judea - In: Journal of Causal Inference 2 (2014) 2, pp. 115-129

unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a …

Persistent link: https://www.econbiz.de/10014610813

Assessing Causes for Individuals

Jewell, Nicholas P. - In: Sociological Methods & Research 43 (2014) 3, pp. 391-395

causation, to other parameters in the causal inference literature, specifically the probability of necessity discussed by Pearl …

Persistent link: https://www.econbiz.de/10011136706

A Two-Stage Propensity Score Matching Strategy for Treatment Effect Estimation in a Multisite Observational Study

Rickles, Jordan H.; Seltzer, Michael - In: Journal of Educational and Behavioral Statistics 39 (2014) 6, pp. 612-636

When nonrandom treatments occur across sites, within-site matching (WM) is often desirable. This approach, however, can significantly reduce treatment group sample size and exclude substantively important subgroups. To limit these drawbacks, we extend a matching approach developed by Stuart and...

Persistent link: https://www.econbiz.de/10011138706