Parametric modeling of localized melanoma prognosis and outcome

J Biopharm Stat. 2009 Jul;19(4):732-47. doi: 10.1080/10543400902964175.

Abstract

This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Age Factors
  • Chi-Square Distribution
  • Data Interpretation, Statistical
  • Databases as Topic
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Likelihood Functions
  • Male
  • Melanoma / mortality*
  • Melanoma / pathology
  • Melanoma / therapy*
  • Middle Aged
  • Models, Statistical*
  • Neoplasm Staging
  • Proportional Hazards Models
  • Risk Assessment
  • Risk Factors
  • Sex Factors
  • Survival Analysis
  • Time Factors
  • Treatment Outcome