6. Using the data from Table 1 in the paper, suppose we can create the results for the main exposure variable for the whole cohort that looks like the following: Group + First Quartile Second Quartile i) 10% ii) 0% iii) 13% iv) 7% Third Quartile Fourth Quartile Total Total At-risk at Baseline 651 651 651 650 2603 Number (%) that initiated smoking 22 (3%) 56 (9%) 74 (11%) 107 (16%) 259 (10%) Calculate the population attributable risk (PAR) for this cohort imagining how much risk of smoking initiation in the population could be reduced if the exposure to smoking in films was reduced to the level of the first quartile; express this as a percentage. The closest value to the correct PAR is!
6. Using the data from Table 1 in the paper, suppose we can create the results for the main exposure variable for the whole cohort that looks like the following: Group + First Quartile Second Quartile i) 10% ii) 0% iii) 13% iv) 7% Third Quartile Fourth Quartile Total Total At-risk at Baseline 651 651 651 650 2603 Number (%) that initiated smoking 22 (3%) 56 (9%) 74 (11%) 107 (16%) 259 (10%) Calculate the population attributable risk (PAR) for this cohort imagining how much risk of smoking initiation in the population could be reduced if the exposure to smoking in films was reduced to the level of the first quartile; express this as a percentage. The closest value to the correct PAR is!
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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