Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies
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Wiley Open Access
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| Format: | Artículo Open Access |
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Wiley
2025
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| _version_ | 1867015699056033792 |
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| author | Yu‐Han Chiu Lan Wen |
| author_facet | Yu‐Han Chiu Lan Wen Yu‐Han Chiu Lan Wen |
| collection | Wiley Open Access |
| contents | Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies Yu‐Han Chiu Lan Wen Statistics in Medicine ABSTRACT The 2020–2025 Dietary Guidelines suggest that most people can improve their diet by making some changes to what they eat and drink. In many cases, these changes involve simple substitutions. For instance, the Dietary Guidelines recommend choosing chicken instead of processed red meat to reduce sodium intake and switching from refined grains to whole grains to increase dietary fiber intake. The question about such dietary substitution strategies seeks to estimate the average counterfactual outcome under a hypothetical intervention that replaces a food an individual would have consumed in the absence of intervention with a healthier substitute. In this work, we will show the conditions under which the average causal effects of substitution strategies can be non‐parametrically identified, and provide efficient estimators for our proposed dietary substitution strategies. We evaluate the performance of our proposed methods via simulation studies and apply them to estimate the effect of substituting processed red meat with chicken on mortality, using data from the Nurses' Health Study. 10.1002/sim.70007 http://creativecommons.org/licenses/by/4.0/ |
| doi_str_mv | 10.1002/sim.70007 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_sim_70007 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| publishDate | 2025 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies Yu‐Han Chiu Lan Wen Statistics in Medicine Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies Yu‐Han Chiu Lan Wen Statistics in Medicine ABSTRACT The 2020–2025 Dietary Guidelines suggest that most people can improve their diet by making some changes to what they eat and drink. In many cases, these changes involve simple substitutions. For instance, the Dietary Guidelines recommend choosing chicken instead of processed red meat to reduce sodium intake and switching from refined grains to whole grains to increase dietary fiber intake. The question about such dietary substitution strategies seeks to estimate the average counterfactual outcome under a hypothetical intervention that replaces a food an individual would have consumed in the absence of intervention with a healthier substitute. In this work, we will show the conditions under which the average causal effects of substitution strategies can be non‐parametrically identified, and provide efficient estimators for our proposed dietary substitution strategies. We evaluate the performance of our proposed methods via simulation studies and apply them to estimate the effect of substituting processed red meat with chicken on mortality, using data from the Nurses' Health Study. 10.1002/sim.70007 http://creativecommons.org/licenses/by/4.0/ |
| title | Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies |
| topic | Statistics in Medicine |
| url | https://onlinelibrary.wiley.com/doi/10.1002/sim.70007 |