9. Using data from Table 1, now create some new hypothetical data to evaluate confounding. Suppose you want to determine whether any association of gender with angina pectoris has the potential to be confounded income level. You will need to perform a stratified analysis by income level to evaluate the relationship of gender to angina pectoris. Using the table that you used for your calculation in the previous question, assume that 25% of those with angina pectoris and low income and high income are women and 75% are men. Also assume that 25% of those without angina pectoris and low and high income are women and 75% are men (Tables are below). Using this information, perform your stratified analysis to evaluate the odds of having angina pectoris for men compared to women (at the high and low income levels). A) Report your stratum specific odds ratios; B) What will be the pooled OR that combines the stratum-specific odds ratios? C) Does income level confound the relationship between gender and a history of angina pectoris? Stratum 1 - Low income. Angina No Angina Total Males 1119 25063 26182 Females 373 8354 8727 Total 1492 33417 34909 Stratum 2 - High income