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RSURV: a function to perform relative survival analysis with S-PLUS or R
Roch Giorgi1, Julie Payan, Joanny Gouvernet
1LERTIM, Faculté de Médecine, Université de la Méditerranée, 27 Bd Jean Moulin 13385, Marseille Cedex, France. roch.giorgi@ap-hm.fr
Computer Methods and Programs in Biomedicine
|April 26, 2005
Summary
This study introduces RSurv, a new R/S function for advanced relative survival analysis. It enhances cancer registry methods by incorporating time-dependent factors for more accurate net survival estimation.
Area of Science:
- Biostatistics
- Survival Analysis
- Cancer Epidemiology
Background:
- Relative survival analysis estimates net survival using general population mortality.
- The Esteve et al. proportional hazards model is standard in cancer registries.
- Recent advancements require models accounting for time-dependent covariates and hazards.
Purpose of the Study:
- To introduce the RSurv function for advanced relative survival analysis.
- To provide a tool that integrates time-dependent covariates and hazards.
- To offer a user-friendly function within the R/S environment.
Main Methods:
- Development of the RSurv function in R/S language.
- Implementation of B-spline functions for time-dependent hazards.
- Creation of the plot.RSurv function for visualizing results.
Main Results:
- The RSurv function offers a unified approach to survival analysis.
- The proposed functions accommodate complex time-dependent factors.
- Demonstrated utility with a breast cancer dataset.
Conclusions:
- RSurv extends existing relative survival methodologies.
- The function facilitates more precise net survival estimation in cancer registries.
- This tool enhances the analysis of time-dependent effects in survival data.