| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1002/sim.4780070133 |
| Estimating hidden morbidity via its effect on mortality and disability. | |
| Woodbury MA; Manton KG; Yashin AI | |
| 发表日期 | 1988 |
| 出处 | Statistics in Medicine 7 (1-2): 325-336 |
| 出版年 | 1988 |
| 语种 | 英语 |
| 摘要 | The applicability of the theory of partially observed finite-state Markov processes to the study of disease. morbidity, and disability is explored. A method is developed for the continuous updating of parameter estimates over time in longitudinal studies analogous to Kalman filtering in continuous valued continuous time stochastic processes. It builds on a model of filtering of incompletely observed finite-state Markov processes subject to mortality due to Yashin et al. The method of estimation is based on maximum likelihood theory and the incompleteness in the observation of the process is dealt with by applying missing information principles in maximum likelihood estimation. |
| 主题 | World Population (POP) |
| URL | http://pure.iiasa.ac.at/id/eprint/13758/ |
| 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/127024 |
| 推荐引用方式 GB/T 7714 | Woodbury MA,Manton KG,Yashin AI. Estimating hidden morbidity via its effect on mortality and disability.. 1988. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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