Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...

In nonparametric multivariate regression analysis, we seek methods to reduce the dimensionality of the regression function to bypass the difficulty caused by the curse of dimensionality. The original ...

In a multivariate regression model, the errors in different equations may be correlated. In this case the efficiency of the estimation may be improved by taking these cross-equation correlations into ...

Matrix-covariate is now frequently encountered in many biomedical researches. It is common to fit conventional statistical models by vectorizing matrix-covariate. This strategy results in a large ...

Phase III Trial of Fluorouracil, Interferon Alfa-2b, and Cisplatin Versus Methotrexate, Vinblastine, Doxorubicin, and Cisplatin in Metastatic or Unresectable Urothelial Cancer PURPOSE: To develop a ...

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how to ...

This retrospective, case–control study was conducted at a large academic medical center. Cases were defined as any psychiatric inpatient age 18 years or older who had a documented fall between July 1, ...