In a study, two groups of patients with a particular infection are given two different antibiotic treatments. The numbers of patients cured within various periods are as follows. a) Use the attached SAS output to perform a statistical test to see if the data indicate a difference between the frequency distributions of the times to cure under the two treatments. Treatment Time to cure (days)
In a study, two groups of patients with a particular infection are given two different antibiotic treatments. The numbers of patients cured within various periods are as follows. a) Use the attached SAS output to perform a statistical test to see if the data indicate a difference between the frequency distributions of the times to cure under the two treatments. Treatment Time to cure (days)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In a study, two groups of patients with a particular infection are given two different antibiotic treatments. The numbers of patients cured within various periods are as follows.
a) Use the attached SAS output to perform a statistical test to see if the data indicate a difference between the frequency distributions of the times to cure under the two treatments.
|
Treatment |
Time to cure (days) |
||||
|
|
1-4 |
5-6 |
7-8 |
9-10 |
>10 |
|
Oral |
28 |
32 |
24 |
10 |
6 |
|
By injection |
44 |
20 |
12 |
11 |
10 |
Transcribed Image Text:Frequency
Percent
Row Pct
Col Pct
The SAS System
The FREQ Procedure
Table of type by time
time
1-4 5-6
Total
100
50.76
7-8 9-10 >10
28 32 24 10 6
14.21 16.24 12.18
5.08 3.05
28.00 32.00 24.00 10.00 6.00
38.89 61.54 66.67 47.62 37.50
10
44 20 12 11
97
49.24
22.34 10.15 6.09 5.58 5.08
45.36 20.62 12.37 11.34 10.31
61.11 38.46 33.33 52.38 62.50
72 52 36 21 16 197
36.55 26.40 18.27 10.66 8.12 100.00
DF Value Prob
4 11.3293 0.0231
4 11.4700 0.0218
1 0.5380 0.4633
0.2398
0.2332
0.2398
type
Oral
By Injection
Total
Statistics for Table of type by time
Statistic
Chi-Square
Likelihood Ratio Chi-Square
Mantel-Haenszel Chi-Square
Phi Coefficient
Contingency Coefficient
Cramer's V
Sample Size = 197
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