2. : Effect modification and confounding Questions 12-14 Data from a study of smoking (E) and cervical cancer (D), strat
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2. : Effect modification and confounding Questions 12-14 Data from a study of smoking (E) and cervical cancer (D), strat
Questions 12-14 Data from a study of smoking (E) and cervical cancer (D), stratified by number of sexual partners the women had (Z) are shown below. You want to first see if Z is an effect modifier. The Z has already met the apriori criteria. Now, you want to apply the data-based criterion. Cancer No cancer Total Zero to One partner Smoker Non-smoker Total Smoker Non-smoker Total 12 25 37 96 92 Two or More partners 21 118 139 142 150 292 33 143 176 238 242 480 LR8 12. Calculate the odds ratio (OR) for women, for stratum 1 (0-1 partner). 13. Calculate the odds ratio (OR) for women, for stratum 2 (2+ partners). 14. Based on your eyeballing the data, do you suspect statistical interaction?
2. : Effect modification and confounding