TY  - JOUR 
AU  - Reyes Santías, Francisco
AU  - Córdova Arévalo, Octavio
AU  - Rivo Lopez, Elena
PY  - 2020
SN  - 14726963
UR  - http://hdl.handle.net/11093/3421
AB  - Background: The relative lack of flexibility of parametric models has led to the development of nonparametric regression techniques based on the family of generalized additive models. However, despite the potential advantages of using Generalized...
AB  - Method: The flexible model considered has been the AM including the beds-facultative interaction. The covariates “Hospital”, being a categorical variable and “Year” being a continuous variable, have also been included in the model. Based on the...
AB  - Results: Cobb-douglas model fits well for the production functions of the more general clinical and surgical services, while the GAM adjusts better in the case of more specialized medical services.
AB  - Conclusions: Generalized Additive Models are more flexible than parametric models, providing a better fit in the presence of non-linear relationships and thus allowing more accurate prediction values. The results of this study suggest that AM is a...
LA  - eng
PB  - BMC Health Services Research
TI  - Using flexible regression models for calculating hospital’s production functions
DO  - 10.1186/s12913-020-05465-2
ER  -