Varying-Coefficient Models
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Implication
Explores varying-coefficient models in survival analysis, suggesting new insights into proportional hazards assumptions.
Key Points
- The aim is to investigate varying-coefficient models that allow coefficients to vary as smooth functions of other variables.
- Developed algorithms for flexible estimation of varying-coefficient models.
- Provided examples demonstrating the application of these models.
- Integrated generalized additive and dynamic generalized linear models.
- Introduced a novel approach to modeling departures from the proportional hazards assumption.
- Showed the flexibility of varying-coefficient models in regression analysis.
Cite This Study
Hastie et al. (1993) studied this question.