Journal of Biometrics & Biostatistics

Kevin Granville

Publications

• Research Article
  Accelerated Failure Time Models with Auxiliary Covariates
  Author(s): Kevin Granville and Zhaozhi FanKevin Granville and Zhaozhi Fan
  
  In this paper we study semi-parametric inference procedure for accelerated failure time models with auxiliary information about a main exposure variable. We use a kernel smoothing method to introduce the auxiliary covariate to the likelihood function. The regression parameters are then estimated through maximization of the estimated likelihood function. A consistent estimator of the variance of the estimator of the regression coefficients is proposed. Simulation studies show that the efficiency gain is remarkable when compared to just using the validation sample. The method is applied to the PBC data from the Mayo Clinic trial in primary biliary cirrhosis as an illustration... Read More»
  DOI: 10.4172/2155-6180.1000152

  Abstract PDF