Doubly robust estimators for generalizing treatment effects on ...

Doubly robust estimators for generalizing treatment effects on ... - NCBI

This article concerns evaluating treatment effects on survival outcomes for a target population and considers a broad class of estimands.

Doubly robust estimators for generalizing treatment effects on ... - arXiv

This paper concerns evaluating treatment effects on survival outcomes for a target population and considers a broad class of estimands.

Doubly robust estimators for generalizing treatment effects on ...

This article concerns evaluating treatment effects on survival outcomes for a target population and considers a broad class of estimands.

Doubly robust estimators for generalizing treatment effects

The proposed estimator is doubly robust in the sense that it is consistent for the target population estimands if either the survival model or the weighting ...

Doubly robust estimators for generalizing treatment effects on ...

Motivated by two intuitive but distinct approaches, i.e., imputation based on survival outcome regression and weighting based on inverse probability of sampling ...

(PDF) Doubly robust estimators for generalizing treatment effects on ...

The proposed estimator is doubly robust in the sense that it is consistent for the target population estimands if either the survival model or the weighting ...

[PDF] Doubly robust estimators for generalizing treatment effects on ...

Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population.

Doubly robust estimators for generalizing treatment effects on ...

The proposed estimator is doubly robust in the sense that it is consistent for the target population estimands if either the survival model or the weighting ...

Doubly robust estimators for the average treatment effect under ...

Furthermore, it is not clear how these model selection approaches can be generalized to general data- adaptive estimators, for example tree-based approaches, ...

Doubly robust treatment effect estimation with missing attributes

Sometimes methods that start from generalized propensity scores do better, while other times multiple imputation with parametric methods fit via the EM ...

Doubly robust estimators for generalizing treatment effects on ...

Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population.

Average Treatment Effects: Double Robustness - YouTube

Average Treatment Effects: Double Robustness ... Doubly-Robust Estimation for Correcting Position-Bias in Clicks for Unbiased Learning to Rank.

Doubly Robust Estimation of Average Treatment ... - Project MUSE

We illustrate how existing software can be used for doubly robust effect estimation of those parameters. Our proposal for confidence interval ...

Using generalized doubly robust estimator to estimate average ...

The generalized doubly robust estimator is proposed for estimating the average treatment effect (ATE) of multiple treatments based on the generalized propensity ...

Doubly robust estimation of causal effects with multivalued treatments

This paper provides doubly robust estimators for treatment effect parameters which are ... By generalizing their approach for multivalued treatment we in- crease ...

Doubly Robust Estimation of Local Average Treatment Effects Using ...

Unlike the usual test that compares OLS and IV estimates, this procedure is robust to treatment effect heterogeneity. JEL Classification: C21, C26. Keywords:.

Using generalized doubly robust estimator to estimate average ...

The generalized doubly robust estimator is proposed for estimating the average treatment effect (ATE) of multiple treatments based on the generalized ...

On Doubly Robust Estimation of the Hazard Difference - PMC

The estimation of conditional treatment effects in an observational study with a survival outcome typically involves fitting a hazards regression model ...

A doubly robust approach for impact evaluation of interventions for ...

The idea behind doubly robust estimation is to use both the propensity score (the probability of treatment as a function of confounders) as well as the outcome ...

Stabilizing the Doubly-Robust Estimators of the Average Treatment ...

We comment on how the application of a stabilization factor may improve the efficiency property of one-step estimator and TMLE, and the comparisons with their ...