A computer program package for relative survival analysis

Area of Science:

• Biostatistics
• Epidemiology
• Public Health

Background:

• Chronic diseases pose significant public health challenges, necessitating robust survival analysis methods.
• Accurate patient survival rates are crucial for evaluating treatment efficacy and disease burden.
• Existing methods may not adequately account for general population mortality or competing risks.

Purpose of the Study:

• To introduce a comprehensive computer program package for patient survival analyses in chronic diseases.
• To provide standardized statistical tools for estimating and testing relative survival rates.
• To facilitate the analysis of aggregated survival data, adjusting for competing risks.

Main Methods:

• The package calculates relative survival rates, defined as observed survival divided by expected survival in a matched general population.
• It incorporates three methods for estimating relative survival rates and two for estimating life expectancy.
• Five statistical tests are included for analyzing relative survival patterns over the entire follow-up period.

Main Results:

• The software package offers a unified approach to relative survival analysis for aggregated data.
• It enables survival analysis adjusted for age, sex, and calendar time, accounting for competing risks.
• The package supports conventional survival and competing risk analyses.

Conclusions:

• The developed software package provides a valuable tool for standardized statistical analysis in chronic disease survival studies.
• It enhances the ability to measure patient survival adjusted for general population mortality.
• The package aims to promote consistent methodology and terminology in long-term survival research.