Ding Shouluan, Soong Seng-Jaw, Lin Hui-Yi, Desmond Renee, Balch Charles M
Biostatistics and Bioinformatics Unit, Comprehensive Cancer Center, University of Alabama at Birmingham, Alabama 35294-3300, USA.
J Biopharm Stat. 2009 Jul;19(4):732-47. doi: 10.1080/10543400902964175.
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.
本研究探索了用于黑色素瘤预后的最合适参数模型，并将其与Cox模型进行比较。应用Cox-Snell残差和生存函数图来评估广义伽马（GG）模型是否是数据的最佳拟合参数模型。在预后建模中，GG模型是Cox模型的有力替代方案。与Cox模型相比，GG模型具有明确且灵活的个体化风险函数的优势，并随时间提供临床有用的风险评估，以帮助临床医生制定患者治疗、随访计划以及临床试验设计和分析。
