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Adverse Reactions 5
Test whether the severity of adverse reactions differs based on the reaction's relation to the drug. |
Skin Potential for Emotions: Problem |
A study was conducted to investigate whether hypnosis has the same effect on skin potential for four different emotions. Subjects were asked to display fear, joy, sadness and calmness under hypnosis, and the resulting skin potential (measured in millivolts) was recorded for each emotion.
Use the Friedman test to determine whether the data suggests that there is a difference in the effect on skin potential for the emotions. |
SAS Institute Inc.
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Skin Potential for Emotions: Sample Data | |
The Hypnosis data set contains data about the skin response that was recorded for subjects who were asked to display four different emotions under hypnosis. These are the variables in the data set: Name | Type | Description | | Emotion | char | emotion (fear, joy, sadness, or calmness) | | Subject | num | subject identifier | | SkinResponse | num | skin response (in millivolts) | |
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Source of Data
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This data is sample data from SAS Institute Inc. |
Skin Potential for Emotions: Solution |
The value of the Friedman test statistic is 6.45, with a corresponding p-value of 0.0917. So at a significance level of α=0.10, we can say that the differences in skin potential for the four emotions are significant. |
Adverse Reactions 5: Problem |
The manufacturers of a medication were concerned about adverse reactions in patients that were treated with their drug. Data on adverse reactions was gathered and stored in a file. The duration of the adverse reaction was recorded as the dependent variable. Patients were either given a placebo or received the standard drug regimen.
Test whether there is a difference in the severity of adverse reactions based on the relation of the reaction to the drug using the Friedman test. Use a significance level of α = 0.05. |
Lee Creighton (modified by Paris Faison)
SAS Institute Inc.
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Adverse Reactions 5: Sample Data | |
The Adverser data set contains information on patients and their adverse reactions to a drug treatment. These are the variables in the data set: Name | Type | Description | | PATIENT_ID | num | patient identification number | | TREATMENT_GROUP | char | treatment patient received (placebo or standard drug) | | TOTAL_DAILY_DOSE | num | daily dosage | | DAY_ON_DRUG | num | number of days patient was on treatment | | AGE | num | age | | SEX | char | sex | | WEIGHT | num | weight | | ADVERSE_REACTION | char | type of adverse reaction | | RACE | char | race | | ADR_SEVERITY | char | level of severity of adverse reaction | | RELATION_TO_DRUG | char | relation of adverse reaction to drug | | ADR_DURATION | char | duration of adverse reaction | |
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Source of Data
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Sall, J., Creighton, L., & Lehman, A. (2006). JMP Start Statistics, Third Edition. Cary, NC: SAS Institute Inc. |
Adverse Reactions 5: Solution |
The FREQ procedure in SAS yields a p-value = 0.0061, which is significant at the α = 0.05 level. Therefore, we can conclude that there is enough evidence to support the claim that there is a difference in the severity of adverse reactions based on the relation of the reaction to the drug. |
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