PROC GENMOD 的正确估算声明

Question

我一直在尝试对我的数据运行修改后的泊松回归。暴露变量有 3 个级别。参考水平为 1。我从未使用过估算语句，也从未被告知如何使用。我的代码语法是否正确？

    class exposure_var(ref='1')/ param = ref;
    model outcome_var = exposure_var covar1 covar2 cover3 / dist=poisson link=log;
    weight weight_var;
    estimate 'outcome_var level 2 vs ref' exposure_var 2 1 / exp; 
    estimate 'outcome_var level 3 vs ref' exposure_var 3 1 / exp; 
run;

或者会是这样的吗？

    class exposure_var(ref='1')/ param = ref;
    model outcome_var = exposure_var covar1 covar2 cover3 / dist=poisson link=log;
    weight weight_var;
    estimate 'outcome_var level 2 vs ref' exposure_var 2 -1 / exp; 
    estimate 'outcome_var level 3 vs ref' exposure_var 3 -1 / exp; 
run;

甚至类似的东西？

    class exposure_var(ref='1')/ param = ref;
    model outcome_var = exposure_var covar1 covar2 cover3 / dist=poisson link=log;
    weight weight_var;
    estimate 'outcome_var level 2 vs ref' exposure_var 2 -1 / exp; 
    estimate 'outcome_var level 3 vs ref' exposure_var 3 -2 / exp; 
run;

提前谢谢您！

Answer 1

看看当您按如下方式指定系数时会发生什么。

估计“outcome_var level 2 vs ref”exposure_var -1 1 0 / exp;