The table below refers to a case control study on the association between sulfones and streptomycin drugs in the treatment of leprosy. Subjects were sampled based on their clinical change to treatment and then asked whether they had a high or low degree of infiltration. The degree of infiltration measures a type of skin damage. We will use clinical change response scores {-1, 0, 1, 2, 3}. The question of interest is whether degree of infiltration is associated with clinical change. (a) Compute the sample proportions of having a high degree of infiltration for each clinical change group? What type of variable is Clinical Change? (B)Conduct a Cochran-Armitage trend test at the 5% significance level to determine whether there is an association between degree of infiltration and clinical change. (C)Now, ignore the fact that clinical change is an ordinal variable. Conduct a chi-squared test for association between degree of infiltration and clinical change at the 5% significance level. (D)Compare your results in parts (b)and (c). Why do your conclusions differ?
The table below refers to a case control study on the association between sulfones and streptomycin drugs in the treatment of leprosy. Subjects were sampled based on their clinical change to treatment and then asked whether they had a high or low degree of infiltration. The degree of infiltration measures a type of skin damage. We will use clinical change response scores {-1, 0, 1, 2, 3}. The question of interest is whether degree of infiltration is associated with clinical change. (a) Compute the sample proportions of having a high degree of infiltration for each clinical change group? What type of variable is Clinical Change? (B)Conduct a Cochran-Armitage trend test at the 5% significance level to determine whether there is an association between degree of infiltration and clinical change. (C)Now, ignore the fact that clinical change is an ordinal variable. Conduct a chi-squared test for association between degree of infiltration and clinical change at the 5% significance level. (D)Compare your results in parts (b)and (c). Why do your conclusions differ?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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The table below refers to a case control study on the association between sulfones and streptomycin drugs in the treatment of leprosy. Subjects were sampled based on their clinical change to treatment and then asked whether they had a high or low degree of infiltration. The degree of infiltration measures a type of skin damage. We will use clinical change response scores {-1, 0, 1, 2, 3}. The question of interest is whether degree of infiltration is associated with clinical change.
(a) Compute the sample proportions of having a high degree of infiltration for each clinical change group? What type of variable is Clinical Change?
(B)Conduct a Cochran-Armitage trend test at the 5% significance level to determine whether there is an association between degree of infiltration and clinical change.
(C)Now, ignore the fact that clinical change is an ordinal variable. Conduct a chi-squared test for association between degree of infiltration and clinical change at the 5% significance level.
(D)Compare your results in parts (b)and (c). Why do your conclusions differ?
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Step 1: Write the given information.
VIEWStep 2: Determine sample proportions of having a high degree of infiltration for each clinical change group.
VIEWStep 3: Perform the Cochran-Armitage trend test at the 5% significance level.
VIEWStep 4: Determine the z value and conclusion for Cochran-Armitage trend test.
VIEWStep 5: Perform the chi-squared test for association between degree of infiltration and clinical change.
VIEWStep 6: Determine the P-value and conclusion for chi square test.
VIEWStep 7: Compare the results from part b) and part c).
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