Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan
Author:
Affiliation:
1. Graduate School, Westminster International University in Tashkent, Tashkent, Uzbekistan
2. Development Strategy and Governance, International Food Policy Research Institute, Washington DC, USA
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15140326.2024.2399457
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1. Matching on the Estimated Propensity Score
2. Propensity scores – A brief introduction for resuscitation researchers
3. Estimating the potential of taxes on sugar-sweetened beverages to reduce consumption and generate revenue
4. Some Methods of Propensity-Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations
5. Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation
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