| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/BF00275995 |
| Dependent competing risks: a stochastic process model. | |
| Yashin A; Manton KG; Stallard E | |
| 发表日期 | 1986 |
| 出处 | Journal of Mathematical Biology 24 (2): 119-140 |
| 出版年 | 1986 |
| 语种 | 英语 |
| 摘要 | Analyses of human mortality data classified according to cause of death frequently are based on competing risk theory. In particular, the times to death for different causes often are assumed to be independent. In this paper, a competing risk model with a weaker assumption of conditional independence of the times to death, given an assumed stochastic covariate process, is developed and applied to cause specific mortality data from the Framingham Heart Study. The results generated under this conditional independence model are compared with analogous results under the standard marginal independence model. Under the assumption that this conditional independence model is valid, the comparison suggests that the standard model overestimates by 4% the effect on life expectancy at age 30 due to the hypothetical elimination of cancer and by 7% the effect for cardiovascular/cerebrovascular disease. By age 80 the overestimates were 11% for cancer and 16% for heart disease. These results suggest the importance of avoiding the marginal independence assumption when appropriate data are available - especially when focusing on mortality at advanced ages. |
| 关键词 | Chronic disease Cohort study Diffusion Framingham heart study Human mortality Maximum likelihood Mortality selection Survival with covariates |
| URL | http://pure.iiasa.ac.at/id/eprint/13648/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/126948 |
| 推荐引用方式 GB/T 7714 | Yashin A,Manton KG,Stallard E. Dependent competing risks: a stochastic process model.. 1986. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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