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目的提出一种综合分析生存质量与生存时间的统计方法，并探讨有关的应用问题。方法基于Ｃｏｘ回归模型，提出将生存质量作为时变协变量的Ｃｏｘ回归分析法，并用于２１２例吸毒者戒毒效果的影响因素分析。结果进入回归方程的因素及风险比分别为：戒毒方式（０．６７３）、婚姻状况（１．３１５）、吸毒方式（１．３１９）、戒毒次数（０．８６７）、母亲文化程度（１．１２０）、母亲职业（１．３１８）、家庭环境气氛（０．７２４）、能否得到亲朋帮助（１．１５０）。结论综合分析生存质量与生存时间的统计方法是一种较好的分析方法。对戒毒效果的影响因素分析表明，主要取决于母亲素质、家庭好坏和吸毒方式、吸毒时间长短等。
Objective To propose a statistical method for comprehensive analysis of quality of life and survival time, and to explore related application issues. Methods Based on the Cox regression model, the Cox regression analysis method was proposed to use the quality of life as a time-varying covariate, and was used to analyze the influencing factors of 212 drug addicts. Results The factors and risk ratios for entering the regression equation were: detoxification mode (0.673), marital status (1.315), drug abuse mode (1.319), number of drug withdrawals (0.867), and mother education level (1. 120) Mother’s occupation (1.318), family atmosphere (0.724), and family and friends’ help (1.150). Conclusion A comprehensive analysis of the statistical methods of quality of life and survival time is a good method of analysis. The analysis of the influencing factors on the effectiveness of drug treatment shows that it mainly depends on the quality of the mother, the family’s quality and the way of drug use, and the length of drug use.