Results 11 to 20 of about 28,962,370 (286)
Dynamic treatment effects [PDF]
Journal of Econometrics, 2016 This paper develops robust models for estimating and interpreting treatment effects arising from both ordered and unordered multistage decision problems. Identification is secured through instrumental variables and/or conditional independence (matching) assumptions.
Heckman, James J. +2 more
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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests [PDF]
Journal of the American Statistical Association, 2015 Many scientific and engineering challenges—ranging from personalized medicine to customized marketing recommendations—require an understanding of treatment effect heterogeneity.
Stefan Wager, S. Athey
semanticscholar +1 more source
Difference-in-Differences Estimators of Intertemporal Treatment Effects [PDF]
Social Science Research Network, 2020 We consider the estimation of the effect of a treatment, using panel data where groups of units are exposed to different doses of the treatment at different times. We consider two sets of parameters of interest.
C. Chaisemartin, X. d'Haultfoeuille
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Conformal inference of counterfactuals and individual treatment effects [PDF]
Journal of The Royal Statistical Society Series B-statistical Methodology, 2020 Evaluating treatment effect heterogeneity widely informs treatment decision making. At the moment, much emphasis is placed on the estimation of the conditional average treatment effect via flexible machine learning algorithms.
Lihua Lei, E. Candès
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Metalearners for estimating heterogeneous treatment effects using machine learning [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2017 Significance Estimating and analyzing heterogeneous treatment effects is timely, yet challenging. We introduce a unifying framework for many conditional average treatment effect estimators, and we propose a metalearner, the X-learner, which can adapt to ...
Sören R. Künzel +3 more
semanticscholar +1 more source
Prevalence of long-term patient-reported consequences of treatment for colorectal cancer: a systematic review [PDF]
Iranian Journal of Colorectal Research, 2021 Aim: Colorectal cancer (CRC) survivors experience persistent late effects of treatments, including a range of symptoms and functional impairments. There is limited evidence on the prevalence of such problems in CRC survivors.
Angela Ju +6 more
doaj +1 more source
Outliers in Semi-Parametric Estimation of Treatment Effects
Econometrics, 2021 Outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric estimates. In this paper, we use Monte Carlo simulations to demonstrate that semi-parametric methods, such as matching, are biased in the presence of ...
Gustavo Canavire-Bacarreza +2 more
doaj +1 more source
Quasi-oracle estimation of heterogeneous treatment effects [PDF]
Biometrika, 2017 Flexible estimation of heterogeneous treatment effects lies at the heart of many statistical applications, such as personalized medicine and optimal resource allocation.
Xinkun Nie, Stefan Wager
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Health Psychology and Behavioral Medicine, 2023 When faced with a binary or count outcome, informative hypotheses can be tested in the generalized linear model using the distance statistic as well as modified versions of the Wald, the Score and the likelihood-ratio test (LRT). In contrast to classical
Caroline Keck, Axel Mayer, Yves Rosseel
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Estimating heterogeneous treatment effects with right-censored data via causal survival forests [PDF]
Journal of The Royal Statistical Society Series B-statistical Methodology, 2020 Forest-based methods have recently gained in popularity for non-parametric treatment effect estimation. Building on this line of work, we introduce causal survival forests, which can be used to estimate heterogeneous treatment effects in survival and ...
Yifan Cui +4 more
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