Results 11 to 20 of about 8,236,248 (311)
Synthesized difference in differences [PDF]
Proceedings of the 12th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2021 We consider estimating the conditional average treatment effect for everyone by eliminating confounding and selection bias. Unfortunately, randomized clinical trials (RCTs) eliminate confounding but impose strict exclusion criteria that prevent sampling of the entire clinical population.
Eric V. Strobl, Thomas A. Lasko
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Synthetic Difference-in-Differences [PDF]
American Economic Review, 2021 We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference-in-differences and synthetic control methods. Relative to these methods we find, both theoretically and empirically, that this “synthetic difference-in-differences” estimator has desirable robustness properties, and that it performs ...
Arkhangelsky, Dmitry +4 more
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An improvement of two nonstandard finite difference schemes for two population mathematical models [PDF]
, 2021 The aim of this paper is to design appropriate nonstandard finite difference (NSFD) schemes for two population mathematical models based on coupled nonlinear ordinary differential equations.
Calatayud, Julia, Jornet, Marc
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Instrumented Difference-in-Differences
Biometrics, 2022 AbstractUnmeasured confounding is a key threat to reliable causal inference based on observational studies. Motivated from two powerful natural experiment devices, the instrumental variables and difference-in-differences, we propose a new method called instrumented difference-in-differences that explicitly leverages exogenous randomness in an exposure ...
Ting Ye +4 more
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Difference-in difference results for proportion of girls ages 12–19 ever married, baseline to endline. [PDF]
, 2023 Difference-in difference results for proportion of girls ages 12–19 ever married, baseline to endline.
Aissa Diarra (15295441) +7 more
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Fuzzy Differences-in-Differences [PDF]
The Review of Economic Studies, 2017 Difference-in-differences (DID) is a method to evaluate the effect of a treatment. In its basic version, a "control group" is untreated at two dates, whereas a "treatment group" becomes fully treated at the second date. However, in many applications of the DID method, the treatment rate only increases more in the treatment group. In such fuzzy designs,
de Chaisemartin, Clément +1 more
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Difference-in-differences. [PDF]
, 2022 Difference-in-differences.
Camila de Moura Vogt (12219253) +2 more
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Difference-in difference analysis of alcohol use and mood by COVID-19 pandemic exposure status. [PDF]
, 2022 Difference-in difference analysis of alcohol use and mood by COVID-19 pandemic exposure status.
Laura E. Dreer (12406520) +8 more
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Difference-in-Difference estimation results from sectors 1 and 2, Girardot. [PDF]
, 2020 Difference-in-Difference estimation results from sectors 1 and 2, Girardot.
Jane Bruce (171033) +5 more
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FitzwilliamMuseum/fitz-vive-la-difference: Vive la difference: Production release [PDF]
, 2022 What's Changed <ul> <li>Bump addressable from 2.7.0 to 2.8.0 by @dependabot in <a href="https://github.com/FitzwilliamMuseum/fitz-vive-la-difference/pull/1">https://github.com/FitzwilliamMuseum/fitz-vive-la-difference/pull/1</a> ...
Daniel Pett
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