Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis.

Despite interest in the joint modeling of multiple functional responses such as diffusion properties in neuroimaging, robust statistical methods appropriate for this task are lacking. To address this need, we propose a varying coefficient quantile regression model able to handle bivariate functional responses. Our work supports innovative insights into biomedical data by modeling the joint distribution of functional variables over their domains and across clinical covariates.

[Effects of Yiqi Bushen Experimental Recipe on mRNA Expressions of foxp3, STAT5, and NF-KB in Decidua Tissue of Natural Abortion Model Mice].

Objective To observe the effects of Yiqi Bushen Experimental Recipe (YBER, a rec- ipe for benefiting qi and Shen supplementing) on mRNA expression of foxp3 in splenic CD4 + CD25 Treg cells and mRNA expressions of foxp3, STAT5, and NF-κB in decidua tissue of natural abortion (NA) model mice. Methods Female CBA/J mice were caged and mated to male DBA/2 mice or male BALB/c mice in 2:1 for NA model. Pregnant CBA/J mice were randomly divided into 5 groups, i.