Question

Using the data below calculate the risk difference, the risk ratio and the odds ratio. Discuss...

Using the data below calculate the risk difference, the risk ratio and the odds ratio. Discuss the overall results (Table 1) and the results of the cohort stratified by smoking. Discuss the estimates of risk difference, risk ratios, and odds ratios. Interpret and discuss the meaning of the stratified results.

Gastric Cancer

Yes

No

Smoke

Yes

150

150

30

No

50

700

75

                                        

RD =

RR =                                                         OR=

You stratify by Smoking with the below numbers:

Gastric Cancer

Yes

No

Salt

Yes

100

100

50

No

30

350

56

Population 1 - Smoke

                

                                                 

RD =

RR =                                                               OR=

        

Population 2 – No Smoke

Gastric Cancer

Yes

No

Salt

Yes

50

50

38

No

20

350

70

RD =

RR =                                                               OR=

       

Homework Answers

Answer #1

1) For Smoke:

Yes: Risk = 150 / 200 = 1.5

No: Risk = 150 / 850 = 0.1764

Relative Risk = 1.5 / 0.1764 = 8.5

Risk Difference = 1.5 - 0.1764 = 1.3236

Odds Ratio = (150/150) / (50/700) = 700/50 = 14

b) For Salt:

Yes: Risk = 100 / 130 = 0.7692

No: Risk = 100 / 450 = 0.2223

Relative Risk = 0.7692 / 0.2223 = 3.4601

Risk Difference = 0.7692 - 0.2223 =0.5469

Odds Ratio = (100 / 100) / (30 /350) = 11.667

c) For Gastic Cancer:

Yes: Risk = 50/70 = 0.7143

No: Risk = 50 / 400 = 0.125

Relative Risk = 0.7143 / 0.125 = 5.7144

Risk Difference = 0.7143 - 0.125 = 0.5893

Odds Ratio = (50 / 50)/ (20 /350) = 17.5

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Given the hypothetical cohort below, calculate the risk ratio, the odds ratio and comment on the...
Given the hypothetical cohort below, calculate the risk ratio, the odds ratio and comment on the differences you see. exposed not exposed Disease 450 100 550 no disease 550 900 1450 1000 1000 2000
Question 1 The association between cellular telephone use and the risk of brain cancer was investigated...
Question 1 The association between cellular telephone use and the risk of brain cancer was investigated in a case-control study. The study included 475 cases and 400 controls and the following results were seen: Cases Controls Cellular Phone User Yes 270 200 No 205 200 Total 475 400 Calculate the odds ratio based on these data. The p value for this odds ratio is 0.06. State your interpretation of this p-value. Gender was considered a potential confounder and effect measure...
Epidemiology 4.5. Cole and MacMahon (1971) present the data given below from a case-control study of...
Epidemiology 4.5. Cole and MacMahon (1971) present the data given below from a case-control study of bladder cancer: High-risk Occupation? High cigarette Consumption? No. of cases No. of controls No No 43 94 No Yes 173 189 Yes No 26 20 Yes Yes 111 72 (i) Calculate the odds ratio for bladder cancer comparing high-risk to other occupations (ignoring cigarette consumption). (ii) Test the null hypothesis that the odds ratio is the same for those who work in high-risk and...
Confounding: A cohort study is conducted to assess the relationship between smoking and esophageal cancer. Cancer...
Confounding: A cohort study is conducted to assess the relationship between smoking and esophageal cancer. Cancer No Cancer Total Smoker 110 140 250 Not a smoker 30 220 250 Total 140 360 500 Researchers are concerned that alcohol consumption may be a confounder. So they separated the data based on the present of the third variable, alcohol to get the data below. Comparing the RR obtained from the CMH method to the crude RR (calculated using the first table). Is...
In a study of male population for understanding the correlation between smoking and lung cancer, the...
In a study of male population for understanding the correlation between smoking and lung cancer, the data were collected and the cross-tabulated information and listed below. Had lung cancer Did not have lung cancer Smoked Cigarette 15 30 Did not smoke cig. 10 100 Data: a)At 5% level of significance, test to see if there is significant correlation between smoking and lung cancer using the data. Use the p-value to draw your conclusion and attach software output. Null hypothesis: Alternative...
3. From the data below of different types of motel rooms and their cost per night,...
3. From the data below of different types of motel rooms and their cost per night, randomly select a stratified sample of 10, including the observations that you selected. Then determine the mean cost for the room sample and find the sampling error, if the population mean is $123.15. Type of room Cost per night    Type of room    Cost per night Smoking $78   Smoking $110 Smoking $100. Smoking $50 Smoking $85 Smoking $180 Smoking $75 Smoking. $105 Smoking $120...
Findings  In a cohort of 2215 adults with COVID-19 who were admitted to intensive care units at...
Findings  In a cohort of 2215 adults with COVID-19 who were admitted to intensive care units at 65 sites, 784 (35.4%) died within 28 days, with wide variation among hospitals. Factors associated with death included older age, male sex, morbid obesity, coronary artery disease, cancer, acute organ dysfunction, and admission to a hospital with fewer intensive care unit beds. Meaning  This study identified demographic, clinical, and hospital-level factors associated with death in critically ill patients with COVID-19 that may be used to...