Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods
Evan D. Peet, Dana Schultz, Susan Lovejoy, Fuchiang (Rich) Tsui
| Year of publication: |
2023
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|---|---|
| Authors: | Peet, Evan D. ; Schultz, Dana ; Lovejoy, Susan ; Tsui, Fuchiang |
| Published in: |
Health economics. - New York, NY : Wiley, ISSN 1099-1050, ZDB-ID 1483261-6. - Vol. 32.2023, 1, p. 194-217
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| Subject: | health policy | machine learning | maternal and child health | social services | treatment effect heterogeneity | Kinder | Children | Künstliche Intelligenz | Artificial intelligence | Gesundheit | Health | Mütter | Mothers | Kindersterblichkeit | Child mortality | Wirkungsanalyse | Impact assessment | Gesundheitsversorgung | Health care | Gesundheitspolitik | Health policy | Frauen | Women |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/hec.4617 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013461906