Journal of Biometrics & Biostatistics

Feng Gao

Publications

• Research Article
  Predicting Clinical Binary Outcome Using Multivariate Longitudi nal Data: Application to Patients with Newly Diagnosed Primary Open - Angle Glaucoma
  Author(s): Feng Gao, J Philip Miller, Julia A Beiser, Chengjie Xiong and Mae O GordonFeng Gao, J Philip Miller, Julia A Beiser, Chengjie Xiong and Mae O Gordon
  
  Primary open angle glaucoma (POAG) is a chronic, progressive, irreversible, and potentially blinding optic neuropathy. The risk of blindness due to progressive visual field (VF) loss varies substantially from patient to patient. Early identification of those patients destined to rapid progressive visual loss is crucial to prevent further damage. In this article, a latent class growth model (LCGM) was developed to predict the binary outcome of VF progression using longitudinal mean deviation (MD) and pattern standard deviation (PSD). Specifically, the trajectories of MD and PSD were summarized by a functional principal component (FPC) analysis, and the estimated FPC scores were used to identify subgroups (latent classes) of individuals with distinct patterns of MD and PSD trajectories. Probability of VF progression for an individual was then estimated as we.. Read More»
  DOI: 10.4172/2155-6180.1000254

  Abstract PDF