论文部分内容阅读
在分析配对病例—对照研究资料时,应用条件 Logistic 回归模型能克服传统的配对 x~2检验之不足,能一次分析多个危险因子,且能分析连续变化的危险因子,是一种比较理想的多因素统计分析方法。
In the analysis of matched case-control study data, conditional Logistic regression model can overcome the deficiencies of the traditional paired x~2 test. It can analyze multiple risk factors at a time and can analyze continuously changing risk factors. It is ideal. Multi-factor statistical analysis method.