首页 | 本学科首页   官方微博 | 高级检索  
     

纵向生命质量资料分析的Markov过程法及其应用
引用本文:万崇华,方积乾,周文清,秦学军. 纵向生命质量资料分析的Markov过程法及其应用[J]. 中华流行病学杂志, 1999, 20(3): 162-165
作者姓名:万崇华  方积乾  周文清  秦学军
作者单位:1. 昆明医学院卫生统计学教研室,云南,650031
2. 中山医科大学卫生统计学教研室
3. 苏州工业园区管委会
基金项目:高等学校博士点学科专项科研基金
摘    要:目的 提出一种分析纵向生命质量资料的方法并探讨有关的应用问题。方法 基于Markov 过程思想提出Markov 过程法,并且用于212 例吸毒者在戒毒期间生命质量的变化及影响因素分析。结果 职业对状态1 →2 和状态2 →3 的转移强度系数分别为0 .7912 和0 .6797;戒毒时间对状态1 →2 的转移强度系数为0 .5663,戒毒方式对状态2 →3 的转移强度系数为0 .2765 。结论 本文方法是一较好的纵向资料分析法,既能分析生命质量的状态转移又能分析转移的影响因素。职业、戒毒方式和戒毒时间能影响生命质量的变化。

关 键 词:Markov过程  纵向资料  生命质量  吸毒
收稿时间:1998-08-29
修稿时间:1998-09-10

Markov process method in analyzing longitudinal quality of life data
WAN Chonghu,FANG Jiqian,ZHOU Wenqing. Markov process method in analyzing longitudinal quality of life data[J]. Chinese Journal of Epidemiology, 1999, 20(3): 162-165
Authors:WAN Chonghu  FANG Jiqian  ZHOU Wenqing
Affiliation:Department of Health Statistics, Kunming Medical College.
Abstract:OBJECTIVE: To present a method to analyze longitudinal quality of life data and discuss some relevant questions. METHOD: Based on the theories of Markov process, the Markov method was presented and used to analyze the change of quality of life status for 212 cases being detoxificated drug addicts and their influence factors. RESULTS: The intensity coefficients of status transient for 1-->2 and 2-->3 for occupation were 0.7912 and 0.6797 respectively; the coefficients for status 1-->2 for the detoxification time was 0.5663 and that for 2-->3 for the detoxification method was 0.2765. CONCLUSIONS: The Markov method is good to analyze longitudinal quality of life data for it can analyze both the transient probabilities between any two status of quality of life and their influence factors. The results showed that the occupation of drug addicts, the detoxification time and method can affect the change of quality of life.
Keywords:Markov process Longitudinal data Quality of life Drug addiction
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《中华流行病学杂志》浏览原始摘要信息
点击此处可从《中华流行病学杂志》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号