Causal Effect of Count Treatment on Ordinal Outcome Using Generalized Propensity Score: Application to Number of Antenatal Care and Age Specific Childhood Vaccination
Abstract Background Many of the studies in causal inference using propensity scores relied on binary treatments where it is estimated by logistic regression or machine learning algorithms. Since 2000s, attention has been given for multiple values (categorical) and continuous treatments and the prope...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2025-02-01
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| Seri Bilgileri: | Journal of Epidemiology and Global Health |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s44197-025-00344-7 |
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