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Dana Schultz

As seen in: Wiley Online Library
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Articles by Dana Schultz

The infant health effects of doulas: Leveraging big data and machine learning to inform cost‐effective targeting

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By Evan Peet, Dana Schultz, Susan L. Lovejoy, Fuchiang Tsui
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT None. Supporting Information Filename Description hec4821-sup-0001-suppl-data.docx17.5 MB Supporting Information S1 REFERENCES , & (2018). Econometric methods for program evaluation. Annual Review of Economics, 10(1), 465–503. https://doi.org/10.1146/annurev-economics-080217-053402 , , & (2018a). Endogenous stratification in randomized experiments. The Review of Economics and Statistics, 100(4), 567–580. https://doi.org/10.1162/rest_a_00732 , , , , , & (2018b).
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Students' consumption of high and low nutrition foods and reduced plate waste by schools' wellness‐related policies and garden program participation

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By Andrea Richardson, Tamara Dubowitz, Dana Schultz, Alvin Nugroho
| Wiley Online Library Verified
Abstract Background Participation in school-based programs that may support children's nutritious dietary behaviours varies across schools. We examined school participation in wellness-related policies, school-based garden programs and students' dietary behaviours.
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Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods

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By Evan Peet, Dana Schultz, Susan L. Lovejoy
| Wiley Online Library Verified
3.1 Data sources To examine the infant health effects of WIC, we used a database called IM Prediction System with the Intervention Management (or IMPreSIv) which contains a unique combination of data linked at the individual-level (Tsui et al., 2019; Tsui & Shi, 2019; Yang et al., 2017).
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