Question 3: The code to produce the ANOVA table for Example 5.1 is shown below. Use pf () to compute the p-value for this F test. Verify that you get the same answer. anova_mod <- aov (pain trt, data = painstudy) summary (anova_mod) Here is example 5.1 Example 5.1 (Three-arm randomized clinical trial). Amundson et al. [2017] conducted a clinical trial of three different treatments to control pain during knee surgery. The primary outcome of the study was maximal pain (0 to 10, numerical pain rating scale where higher values indicate more severe pain) one
Question 3: The code to produce the ANOVA table for Example 5.1 is shown below. Use pf () to compute the p-value for this F test. Verify that you get the same answer. anova_mod <- aov (pain trt, data = painstudy) summary (anova_mod) Here is example 5.1 Example 5.1 (Three-arm randomized clinical trial). Amundson et al. [2017] conducted a clinical trial of three different treatments to control pain during knee surgery. The primary outcome of the study was maximal pain (0 to 10, numerical pain rating scale where higher values indicate more severe pain) one
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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Could you solve it with R only, please?
Thank you
![Question 3: The code to produce the ANOVA table for Example 5.1 is shown below.
Use pf () to compute the p-value for this F test. Verify that you get the same answer.
anova_mod <- aov (pain trt, data =
summary (anova_mod)
Here is example 5.1
painstudy)
Example 5.1 (Three-arm randomized clinical trial). Amundson et al. [2017]
conducted a clinical trial of three different treatments to control pain during
knee surgery. The primary outcome of the study was maximal pain (0 to 10,
numerical pain rating scale where higher values indicate more severe pain) one
day after surgery. The study aimed to enrol 150 participants randomized in
equal numbers to the three treatments (in clinical trials, treatments are often
called arms short for treatment arms).
TABLE 5.1: Example 5.1 Treatment Means and Standard Deviations
trt
N Mean SD
A 50 6.20 1.34
B 50 7.32 1.15
3.64 1.51
C
50](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faf4d5614-e5fa-4399-aabc-c345eeef0588%2F97749942-c408-48a4-828e-4c3981a7a27a%2Fvjmyr3_processed.png&w=3840&q=75)
Transcribed Image Text:Question 3: The code to produce the ANOVA table for Example 5.1 is shown below.
Use pf () to compute the p-value for this F test. Verify that you get the same answer.
anova_mod <- aov (pain trt, data =
summary (anova_mod)
Here is example 5.1
painstudy)
Example 5.1 (Three-arm randomized clinical trial). Amundson et al. [2017]
conducted a clinical trial of three different treatments to control pain during
knee surgery. The primary outcome of the study was maximal pain (0 to 10,
numerical pain rating scale where higher values indicate more severe pain) one
day after surgery. The study aimed to enrol 150 participants randomized in
equal numbers to the three treatments (in clinical trials, treatments are often
called arms short for treatment arms).
TABLE 5.1: Example 5.1 Treatment Means and Standard Deviations
trt
N Mean SD
A 50 6.20 1.34
B 50 7.32 1.15
3.64 1.51
C
50
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