Journal of Biometrics & Biostatistics

Ke-Sheng Wang

Publications

• Review Article
  Principal Component Regression Analysis of Nutrition Factors and Physical Activities with Diabetes
  Author(s): Ke-Sheng Wang, Ying Liu, Xin Xie, Shaoqing Gong, Chun Xu and Zhanxin ShaKe-Sheng Wang, Ying Liu, Xin Xie, Shaoqing Gong, Chun Xu and Zhanxin Sha
  
  The associations of nutrition factors and physical activities with adult diabetes are inconsistent; while most of these factors are inter correlated. The aims of this study are to overcome the disturbance of the multicollinearity of the risk factors and examine the associations of these factors with diabetes using the principal component analysis (PCA) and regression analysis with principal component scores (PCS). Totally, 659 adults with diabetes and 2827 non-diabetic were selected from the 2012 Health Information National Trends Survey (HINTS 4, Cycle 2). PCA was utilized to deal with multicollinearity of the risk factors. Weighted univariate and multiple logistic regression analyses were used to estimate the associations of potential factors and PCS with diabetes. The odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. The first 3 PCs for nutrition factors and phy.. Read More»
  DOI: 10.4172/2155-6180.1000364

  Abstract PDF