Journal of Biometrics & Biostatistics

Alexander Goldfarb-Rumyantzev

Publications

• Research Article
  Combining Prediction Models in a Linear Way: Results of Numeric Simulation
  Author(s): Alexander Goldfarb-Rumyantzev and Ning DongAlexander Goldfarb-Rumyantzev and Ning Dong
  
  Background: Using standard expressions for logistic regression and proportional hazard models and data from published outcome studies might allow generating prediction models and risk stratification tools in a more streamline fashion. However it might require combining the models, adding or removing predictors. The feasibility of this approach has been examined here. Methods: The outcome of this simulation study is mortality. The simulation exercise was based on the imaginary population of 20,000 subjects whose mortality was completely determined by five variables in the specified logistic regression model. In the first simulation exercise using “full model”, we evaluated the option of combining the results of two separate studies (studies A and B) each based on subset of the population. In the second simulation exercise studies A and B were ba.. Read More»
  DOI: 10.4172/2155-6180.1000275

  Abstract PDF