Different survival analysis methods for measuring long-term outcomes of Indigenous and non-Indigenous Australian cancer patients in the presence and absence of competing risks

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• 作者：Vincent Y. F. He ; John R. Condon ; Peter D. Baade…
• 关键词：Survival analysis ; Indigenous Australians ; Competing risks ; Fine ; Gray model ; Net survival ; Crude probability of death ; Cancer prognosis ; Life tables ; Smoking ; Cause of death data
• 刊名：Population Health Metrics
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：15
• 期：1
• 全文大小：379KB
• 刊物主题：Public Health; Epidemiology;
• 出版者：BioMed Central
• ISSN：1478-7954
• 卷排序：15

文摘

BackgroundNet survival is the most common measure of cancer prognosis and has been used to study differentials in cancer survival between ethnic or racial population subgroups. However, net survival ignores competing risks of deaths and so provides incomplete prognostic information for cancer patients, and when comparing survival between populations with different all-cause mortality. Another prognosis measure, “crude probability of death”, which takes competing risk of death into account, overcomes this limitation. Similar to net survival, it can be calculated using either life tables (using Cronin-Feuer method) or cause of death data (using Fine-Gray method). The aim of this study is two-fold: (1) to compare the multivariable results produced by different survival analysis methods; and (2) to compare the Cronin-Feuer with the Fine-Gray methods, in estimating the cancer and non-cancer death probability of both Indigenous and non-Indigenous cancer patients and the Indigenous cancer disparities.