Constrained Varying-Coefficient Model for Time-Course Experiments in Soft Tissue Fabrication

In the fabrication of artificial soft tissues, novel biomaterials with the required properties are obtained by appropriately adjusting process parameters during material synthesis. One key step in finding the desired material is understanding the relationship between the process parameters and the material properties, and time-course experiments are typically conducted for this purpose. This article proposes a constrained varying-coefficient modeling method for such data in which expert knowledge is properly accommodated in the model estimation to make the modeling practically meaningful. The proposed model has a semiparametric structure and incorporates expert knowledge in the form of constraints on model coefficients. Estimation algorithms based on a smoothing spline and a weighted smoothing spline are also provided. Finally, the proposed method is compared with existing methods in a case study and a numerical study.

Automated summary

This article introduces a constrained varying-coefficient modeling method for the fabrication of artificial soft tissues to obtain novel biomaterials with desired properties by adjusting process parameters, incorporating expert knowledge in model estimation. The proposed model has a semiparametric structure and includes constraints on model coefficients based on expert knowledge.