Using the following code, I performed multivariable logistic regression analysis, and adjusted odds ratios for each variable were calculated.
| category1 | cagtegory2 | continuous1 | continuous2 | result |
|---|---|---|---|---|
| a | b | 11 | 19 | 0 |
| b | b | 13 | 14 | 1 |
| c | a | 15 | 12 | 0 |
| c | a | 13 | 11 | 1 |
| a | b | 14 | 16 | 0 |
| b | c | 13 | 14 | 1 |
proc logistic
plots(only)=all;
class category1 category2
model result= continuous1 continuous2 category1 category2
selection=none
link=logit
run;
In this code, independent variables are two continuous variables (continuous1 and 2) and two categorical variable (category1 and 2). A dependent variable is 'result'.
Question> Using these variables, I want to calculate additionally adjusted odds ratios and their 95% confidence interval by bootstrap method (on 1000 bootstrapped samples). They can be easily calculated in SPSS using bootstrap option. However, I cannot find such a option in SAS.
If the coding for this analysis is complex, where can I find such information? Thank you very much in advance!!