分析种族与地区差异对乳腺癌生存率的影响，为精准干预提供数据支持。
Analyzing Breast Cancer Survival Disparities by Race and Demographic Location: A Survival Analysis Approach
- 基于SEER 2021数据，结合Kaplan-Meier与Cox模型分析生存差异。
- 发现不同种族和地理区域间乳腺癌生存率存在显著差异。
- 结果可指导政策制定，助力缩小医疗不平等问题。
本研究采用稳健的分析框架，基于SEER 2021数据集，探究不同种族与地理背景乳腺癌患者的生存结局差异。通过探索性数据分析（EDA）识别关键影响变量，结合Kaplan-Meier估计、log-rank检验及Cox比例风险模型，分析生存率在不同种族群体和地区间的差异。研究进行了模型验证与结果解释，确保结论可靠性，并系统记录分析过程，以供政策制定者与医疗专业人员参考。研究结果不仅揭示了乳腺癌治疗与照护中的不平等现象，还为制定针对性干预措施提供了统计基础，旨在推动全球乳腺癌预后改善与治疗公平性提升。
原文摘要 · Abstract (English)
This study employs a robust analytical framework to uncover patterns in survival outcomes among breast cancer patients from diverse racial and geographical backgrounds. This research uses the SEER 2021 dataset to analyze breast cancer survival outcomes to identify and comprehend dissimilarities. Our approach integrates exploratory data analysis (EDA), through this we identify key variables that influence survival rates and employ survival analysis techniques, including the Kaplan-Meier estimator and log-rank test and the advanced modeling Cox Proportional Hazards model to determine how survival rates vary across racial groups and countries. Model validation and interpretation are undertaken to ensure the reliability of our findings, which are documented comprehensively to inform policymakers and healthcare professionals. The outcome of this paper is a detailed version of statistical analysis that not just highlights disparities in breast cancer treatment and care but also serves as a foundational tool for developing targeted interventions to address the inequalities effectively. Through this research, our aim is to contribute to the global efforts to improve breast cancer outcomes and reduce treatment disparities.
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