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On estimating average effects for multiple treatment groups
Statistics in Medicine, 2012We propose to estimate average exposure (or treatment) effects from observational data for multiple exposure groups by fitting an approximation of the marginal sample distribution of the response variable in each exposure group to the data. The marginal sample distribution is a function of the true distribution of the response variable in the ...
Landsman, V., Pfeiffer, R. M.
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Model averaging for treatment effect estimation in subgroups
Pharmaceutical Statistics, 2016AbstractIn many clinical trials, biological, pharmacological, or clinical information is used to define candidate subgroups of patients that might have a differential treatment effect. Once the trial results are available, interest will focus on subgroups with an increased treatment effect.
Björn, Bornkamp +3 more
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The Sample Average Treatment Effect
2018In cluster randomized trials (CRTs), the study units usually are not a simple random sample from some clearly defined target population. Instead, the target population tends to be hypothetical or ill-defined, and the selection of study units tends to be systematic, driven by logistical and practical considerations.
Laura B. Balzer +2 more
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Model averaging for estimating treatment effects
Annals of the Institute of Statistical Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Zhihao +4 more
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Biometrical Journal, 2017
Propensity score based statistical methods, such as matching, regression, stratification, inverse probability weighting (IPW), and doubly robust (DR) estimating equations, have become popular in estimating average treatment effect (ATE) and average treatment effect among treated (ATT) in observational studies.
Abdia, Younathan +4 more
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Propensity score based statistical methods, such as matching, regression, stratification, inverse probability weighting (IPW), and doubly robust (DR) estimating equations, have become popular in estimating average treatment effect (ATE) and average treatment effect among treated (ATT) in observational studies.
Abdia, Younathan +4 more
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Beyond the average treatment effect
Οι ιατρικές αποφάσεις συχνά βασίζονται στη μέση επίδραση θεραπειών όπως αυτή εκτιμάται από κλινικές δοκιμές, υποθέτοντας ότι όλοι οι ασθενείς επωφελούνται εξίσου. Ωστόσο, η προσέγγιση αυτή αγνοεί τη σημαντική ετερογένεια στις αντιδράσεις των ασθενών.openaire +1 more source
A note on estimation of the average treatment effect and average partial effect in nonlinear models [PDF]
Economics Bulletin, 2008 In the literature on program impact evaluation, the popular impact parameters can the average treatment effect, the average treatment effect on the treated, the average partial effect, and the average partial effect on the treated. In empirical studies, these parameters are not always presented and estimated clearly. In addition, when outcome functions
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Unique Strategies and Average Treatment Effects
Strategy ScienceWhat explains the increasing disconnect between empirical strategy research and real-world strategy? Although empirical methods have evolved, notably in the use of techniques that support causal identification, we argue that empirical strategy’s focus on estimating well-identified average treatment effects from a population-level model of performance ...
Jason Snyder +2 more
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Estimating average treatment effects in Stata [PDF]
, 2007 In this talk, I look at several methods for estimating average effects of a program, treatment, or regime, under unconfoundedness. The setting is one with a binary program. The traditional example in economics is that of a labor market program where some individuals receive training and others do not, and interest is in some measure of the ...
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