Profiling Compliers and Non-compliers for Instrumental Variable Analysis
نویسندگان
چکیده
منابع مشابه
Estimating Outcome Distributions for Compliers in Instrumental Variables Models
In Imbens and Ingrist (1994), Angrist, Imbens and Rubin (1996) and Imbens and Rubin (1997), assumptions have been outlined under which instrumental variables estimands can be given a causal interpretation as a local average treatment effect without requiring functional form or constant treatment effect assumptions. We extend these results by showing that under these assumptions one can estimate...
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BACKGROUND There is a lack of research regarding the long-lasting effects of a more physically active lifestyle in patients with mental disorders. In the present study, clinical data were analysed to examine if initially physically inactive patients, clinically diagnosed with stress-related exhaustion, taking part in 12-month multimodal treatment (MMT), differ at the 18-month follow-up regardin...
متن کاملAn Algorithm to Compute the Likelihood Ratio Test Statistic of the Sharp Null Hypothesis for Compliers
In a randomized experiment with noncompliance, scientific interest is often in testing whether the treatment exposure X has an effect on the final outcome Y [2, 1]. We have proposed a finite-population significance test of the sharp null hypothesis that X has no effect on Y , within the principal stratum of compliers, using a generalized likelihood ratio test [4]. As both the null and alternati...
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In a randomized experiment with noncompliance, testing whether treatment exposure X has an effect on the final response Y is often of scientific interest. We propose a finite-population permutation-based test of the null hypothesis that X has no effect on Y within Compliers. Our method builds on tests for principal stratum direct effects described in (Nolen and Hudgens, 2011).
متن کاملInstrumental variable analysis.
The main advantage of the randomized controlled trial (RCT) is the random assignment of treatment that prevents selection by prognosis. Nevertheless, only few RCTs can be performed given their high cost and the difficulties in conducting such studies. Therefore, several analytical methods for removing the effects of selection bias in observational studies have been proposed. The first aim of th...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2019
ISSN: 1556-5068
DOI: 10.2139/ssrn.3380247