万崇华 方积乾 周文清 秦学军 万崇华 (昆明医学院卫生统计学教研室 云南 650031); 方积乾 秦学军 (中山医科大学卫生统计学教研室); 周文清 (苏州工业园区管委会高等学校博士点学科专项科研基金资助)基金编号 9503100 中华流行病学杂志 1999 0 20 3


    关键词：Markov过程；纵向资料；生命质量；吸毒 期刊 zhlxbxzz 0 论著 fur -->


    

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。

    

Markov process method in analyzing longitudinal quality of life data

WAN Chonghua^* , FANG Jiqian, ZHOU Wenqing,et al.

Department of Health Statistics, Kunming Medical College, Kunming 650031

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.
Key words： Markov process Longitudinal data Quality of life Drug addiction

随着生命质量(quality of life,QOL)研究的兴起 ......

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