Complete the mcq:
Q1 What type of study design is described in the abstract?
a. Observational
b. Case Control
c. Retrospective
d. Cross Sectional
e. a and c
Q2 What proportion of patients was successfully treated?
Q3 Calculate a 95% Confidence Interval (CI) for the true population proportion with successful treatment. Hint: The SE of p is the square root of (pq)/n.
SE = sqrt[0.689(1 - 0.689)/399] = sqrt[0.689(0.311)]399 = sqrt[0.214279/399] = 0.0230
UP CI = 0.689 + 1.96 (0.0230) = 0.689 + 0.04508 = 0.73408
LL CI = 0.689 - 1.96 (0.0230) = 0.689 - 0.04508 = 0.64392
Upper limit CI = 0.73408 (20 pts)
Lower Limit CI = 0.64392 (20 pts)
Q4 Which of the following is true with regard to the confidence interval computed in Question 3 above: (25 pts)
a. 95 times out of 100 one would expect a the sample of 399 taken from the same population to have a proportion of successfully treated patients to be between the upper and lower limits of the confidence interval computed in Question 2.
b. 95 times out of 100 one would expect a the sample of 399 taken from the same population to have a proportion of successfully treated patients to be outside the upper and lower limits of the confidence interval computed in Question 2.
c. 5 times out of 100 one would expect a the sample of 399 taken from the same population to have a proportion of successfully treated patients to be outside the upper and lower limits of the confidence interval computed in Question 2.
d. a and c.
Q5 Using the information from Table 1, construct a 3 x 2 table to test the association between DOT status and successful treatment.
Observed Treatment Success
DOT Yes No Total
Yes 186 64 250
No 86 60 146
Unknown 3 0 3
Total 275 124 399
Generate the expected values for the empty cells below. Hint: the expected value for any cell is the row total x column total divided by the grand (overall) total.
Expected Treatment Success Values
DOT Yes No Total
Yes 172.3057 77.6942 250
No 100.6265 45.3734 146
Unknown 2.0676 0.9323 3
Total 275 124 399
Q6 Using the DOT status groups, generate the chi-squared test statistic, by hand, using a calculator, or using a computer.
Alpha = 0.05
df = _____
Critical value = _____
Chhi-squared test statistic = _____
Based on comparing the Chi square statistic to the critical value which of the following is true?
a. Successful outcome is dependent on DOT status.
b. Successful outcome is independent of DOT status.
c. No conclusion can be made.
d. The Chi square test is invalid because of only 1 degree of freedom.
Multiple logistic regression analysis allows us to look at the impact of independent variables (potential predictor variables) on a dichotomous outcome variable such as successful treatment completion (yes/no) when controlling for other independent variables. Table 3 presents some of the results of the multiple logistic regression model.1 The outcome is successful treatment.
One way to assess the importance of a potential predictor variable is to examine the odds ratios (ORs) and associated 95% CIs that are estimated from the logistic regression model.
Q7 Which independent variables listed below is (are) positively significantly associated with successful treatment?
a. Institutions
b. Physician
c. DOT
d. CXR
e. a, b, and c.
For more information review the attachment:
Attachment:- Tests of Association for Categorical Data.rar