Journal of Biometrics & Biostatistics

Ning Dong

Publications

• Research Article
  Developing Prediction Models from Results of Regression Analysis: Woodpecker^™ Technique
  Author(s): Alexander Goldfarb Rumyantzev, Ning Dong, Sergei Krikov, Olga Efimova, Lev Barenbaum and Shiva GautamAlexander Goldfarb Rumyantzev, Ning Dong, Sergei Krikov, Olga Efimova, Lev Barenbaum and Shiva Gautam
  
  Background: Developing medical prediction models remains time and labor consuming. We propose the approach where information collected from published epidemiological outcome studies is quickly converted into prediction models. Methods: We used general expressions for regression models to derive prediction formulae defining the probability of the outcome and relative risk indicator. Risk indicator (R) is calculated as a linear combination of predictors multiplied by regression coefficients and then is placed on the scale of 0 to 10 for interpretability. Prediction expression for the probability (P) of the outcome is derived from general expression for logistic regression and proportional hazard models. The intercept is calculated based upon the outcome rate in the population and the risk indicator assigned to a subject representing mean characteristics of t.. Read More»
  DOI: 10.4172/2155-6180.1000276

  Abstract PDF