Problem 3. A large medical center's oncology program reported an increased number of cases of lung cancer during a certain month. The hospital's epidemiologist decided to research the problem. Tumor registry records were searched to identify all cases of lung cancer during a five-year period; cancer patients were matched with patients treated for other diseases during the same five-year period. All subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data are as follows: DATA LIFESTYLE Cancer Patients Other Patients VARIABLE Men Women Men Women Coffee Drinking Tea Drinking Alcohol 185 140 190 120 110 140 270 230 270 260 225 240 I Note: _Total number of male cancer patients - 200 Total number of female cancer patients = 150 Total number of male patients (other diseases) = 300 Total number of female patients (other diseases) - 300 These data can be stratified by gender, and this has been done from you in the below tables for coffee drinking, only Men Cases (lung cancer) Controls (other pts) Coffee Drinking 185 270 455 Non Coffee Drinking 15 30 45 200 300 Women Coffee Drinking Non Coffee Drinking Cases (lung cancer) 120 30 150 Controls (other pts) 260 40 300 380 70 The rarity assumption is not been met therefor OR is the best epidemiological measure of association a) Calculate the OR among men only (2 points) English litt Men Coffee Drinking Non Coffee Drinking Cases (lung cancer) 185 15 200 Controls (other pts) 270 30 300 455 45 Women Coffee Drinking Non Coffee Drinking Cases (lung cancer) 120 30 150 Controls (other pts) 260 40 300 380 70 I The rarity assumption is not been met therefor OR is the best epidemiological measure of association. a) Calculate the OR among men only (2 points) b) Calculate the OR among women only (2 points) c) Compare the risk of coffee drinking and lung cancer risk by gender (1 point). Problem 3. A large medical center's oncology program reported an increased number of cases of lung cancer during a certain month. The hospital's epidemiologist decided to research the problem. Tumor registry records were searched to identify all cases of lung cancer during a five-year period; cancer patients were matched with patients treated for other diseases during the same five-year period. All subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data are as follows: DATA LIFESTYLE Cancer Patients Other Patients VARIABLE Men Women Men Women Coffee Drinking Tea Drinking Alcohol 185 140 190 120 110 140 270 230 270 260 225 240 I Note: _Total number of male cancer patients - 200 Total number of female cancer patients = 150 Total number of male patients (other diseases) = 300 Total number of female patients (other diseases) - 300 These data can be stratified by gender, and this has been done from you in the below tables for coffee drinking, only Men Cases (lung cancer) Controls (other pts) Coffee Drinking 185 270 455 Non Coffee Drinking 15 30 45 200 300 Women Coffee Drinking Non Coffee Drinking Cases (lung cancer) 120 30 150 Controls (other pts) 260 40 300 380 70 The rarity assumption is not been met therefor OR is the best epidemiological measure of association a) Calculate the OR among men only (2 points) English litt Men Coffee Drinking Non Coffee Drinking Cases (lung cancer) 185 15 200 Controls (other pts) 270 30 300 455 45 Women Coffee Drinking Non Coffee Drinking Cases (lung cancer) 120 30 150 Controls (other pts) 260 40 300 380 70 I The rarity assumption is not been met therefor OR is the best epidemiological measure of association. a) Calculate the OR among men only (2 points) b) Calculate the OR among women only (2 points) c) Compare the risk of coffee drinking and lung cancer risk by gender (1 point)
