Journal of Biometrics & Biostatistics

Kathy B. Baumgartner

Publications

• Research Article
  Evaluating Long-Term Outcomes via Computed Tomography in Lung Cancer Screening
  Author(s): Dongfeng Wu, Ruiqi Liu, Beth Levitt, Tom Riley and Kathy B. BaumgartnerDongfeng Wu, Ruiqi Liu, Beth Levitt, Tom Riley and Kathy B. Baumgartner
  
  Objectives: Future outcomes of computed tomography in lung cancer screening were evaluated using recently derived probability formula in the disease progressive model, and the recently completed National Lung Screening Trial computed tomography (NLST-CT) data. Methods: Every participant in a screening program would fall into one of the four disjoint groups eventually: symptom-free-life, no-early-detection, true-early-detection and overdiagnosis, depending on whether he/she would be diagnosed with cancer and whether symptoms would have appeared before death. The probability of each outcome was a function of an individual’s current age, past and future screening frequency and the three key parameters: screening sensitivity, sojourn time and time in the disease-free state. The predictive probability was estimate.. Read More»
  DOI: 10.4172/2155-6180.1000313

  Abstract PDF