Se Acase-control study was conducted to assess the relationship between alcohol consumption (ALC) and oral cancer (OCA). The table describing the crude data is below Table 1 (n=607). OCA OCA n-74 27 N-533 90 ALC ALC 47 443 1. What is the value of the EOR? а. (27 х 90) (47 х 443) b. (47 х 90У (27 х 443) c. (27 x 443) (47 x 90) 2. What can we conclude about the relationship between the two variables? a. Alcohol consumption is a risk factor for oral cancer. b. Oral cancer is a risk factor for alcohol consumption c. Alcohol consumption is protective against oral cancer. d. There is no relationship between alcohol consumption and oral cancer. 3. If the value of the odds ratio were 5.0, how would it be interpreted? a. The odds of having oral cancer among those who consume alcohol are 5 times the odds of having oral cancer among those who do not consume alcohol. b. The odds of consuming alcohol among those with oral cancer are 5 times the odds of consuming alcohol among those without oral cancer. c. The odds of developing oral cancer are 5 times higher among those who consume alcohol than those who do not consume alcohol.

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Se
A case-control study was conducted to assess the relationship between alcohol consumption
(ALC) and oral cancer (OCA). The table describing the crude data is below
Table 1 (n=607).
OCA
OCA
n=74
N=533
ALC
27
90
ALC
47
443
1. What is the value of the EOR?
a. (27 x 90) (47 x 443)
b. (47 x 90)/ (27 x 443)
c. (27 x 443)/ (47 x 90)
2. What can we conclude about the relationship between the two variables?
a. Alcohol consumption is a risk factor for oral cancer.
b. Oral cancer is a risk factor for alcohol consumption
c. Alcohol consumption is protective against oral cancer.
d. There is no relationship between alcohol consumption and oral cancer.
3. If the value of the odds ratio were 5.0, how would it be interpreted?
a. The odds of having oral cancer among those who consume alcohol are 5 times the odds
of having oral cancer among those who do not consume alcohol.
b. The odds of consuming alcohol among those with oral cancer are 5 times the odds of
consuming alcohol among those without oral cancer.
c. The odds of developing oral cancer are 5 times higher among those who consume alcohol
than those who do not consume alcohol.
4. The investigators identified "age" as a potential confounder in the relationship between
alcohol use and oral CA. Does "age" meet the apriori criteria?
a. Yes
b. No
c. Maybe so
Transcribed Image Text:Se A case-control study was conducted to assess the relationship between alcohol consumption (ALC) and oral cancer (OCA). The table describing the crude data is below Table 1 (n=607). OCA OCA n=74 N=533 ALC 27 90 ALC 47 443 1. What is the value of the EOR? a. (27 x 90) (47 x 443) b. (47 x 90)/ (27 x 443) c. (27 x 443)/ (47 x 90) 2. What can we conclude about the relationship between the two variables? a. Alcohol consumption is a risk factor for oral cancer. b. Oral cancer is a risk factor for alcohol consumption c. Alcohol consumption is protective against oral cancer. d. There is no relationship between alcohol consumption and oral cancer. 3. If the value of the odds ratio were 5.0, how would it be interpreted? a. The odds of having oral cancer among those who consume alcohol are 5 times the odds of having oral cancer among those who do not consume alcohol. b. The odds of consuming alcohol among those with oral cancer are 5 times the odds of consuming alcohol among those without oral cancer. c. The odds of developing oral cancer are 5 times higher among those who consume alcohol than those who do not consume alcohol. 4. The investigators identified "age" as a potential confounder in the relationship between alcohol use and oral CA. Does "age" meet the apriori criteria? a. Yes b. No c. Maybe so
Investigators then decided to control for age. So, they stratified the crude data in Table 1 by age
level (Table 2).
+ Teble 2 (n=607)
40-49 years
50-59 years
n=360
OCA -OCA OCA-OCA
60+ years
n=121
OCA
n=126
OCA
ALC
4
22
12
37
67
11
12
31
67
-ALC 25
309
10
5. What are the stratum-specific odds ratios?
a. 2.2, 2.2, 2.0
b. 0.4, 0.4, 0.5
c. 0.6, 0.2, 0.2
6. What is the value of the adjusted OR?
7. Is age a confounder, according to the 10% rule?
a. Yes
b. No
8. Which OR(s) do you report to the media?
a. Crude OR
b. Stratum-specific OR's
c. Adjusted OR
9. Your statement to the media is: "The odds ratio linking alcohol use to oral cancer is 2.1,
after adjusting for the influence of age."
a. True
b. False
Transcribed Image Text:Investigators then decided to control for age. So, they stratified the crude data in Table 1 by age level (Table 2). + Teble 2 (n=607) 40-49 years 50-59 years n=360 OCA -OCA OCA-OCA 60+ years n=121 OCA n=126 OCA ALC 4 22 12 37 67 11 12 31 67 -ALC 25 309 10 5. What are the stratum-specific odds ratios? a. 2.2, 2.2, 2.0 b. 0.4, 0.4, 0.5 c. 0.6, 0.2, 0.2 6. What is the value of the adjusted OR? 7. Is age a confounder, according to the 10% rule? a. Yes b. No 8. Which OR(s) do you report to the media? a. Crude OR b. Stratum-specific OR's c. Adjusted OR 9. Your statement to the media is: "The odds ratio linking alcohol use to oral cancer is 2.1, after adjusting for the influence of age." a. True b. False
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