Randomization tests of causal effects under interference
نویسندگان
چکیده
منابع مشابه
Estimating Average Causal Effects Under General Interference
This paper presents randomization-based methods for estimating average causal effects under arbitrary interference of known form. Conservative estimators of the randomization variance of the average treatment effects estimators are presented, as is justification for confidence intervals based on a normal approximation. Examples relevant to research in environmental protection, networks experime...
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متن کاملRandomization tests in language typology
Two of the major assumptions that common statistical tests make about random sampling and distribution of the data are not tenable for most typological data. We suggest to use randomization tests, which avoid these assumptions. Randomization is applicable to frequency data, rank data, scalar measurements, and ratings, so most typological data can be analyzed with the same tools. We provided a f...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2019
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asy072