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A researcher wants to determine if a new treatment is effective for reducing Ebola-related fever. What type of study should be conducted in order to establish that the treatment does indeed cause improvement in Ebola patients? (a) Randomly assign Ebola patients to one of two groups, either the treatment or placebo group, and then compare the fever of the two groups. (b) Identify Ebola patients who received the new treatment and those who did not, and then compare the fever of those two groups. (c) Identify clusters of villages and then stratify them by gender and compare the fevers of male and female groups. (d) Both studies (a) and (b) can be conducted in order to establish that the treatment does indeed cause improvement with regards to fever in Ebola patients.

A researcher wants to determine if a new treatment is effective for reducing Ebola-related fever. What type of study should be conducted in order to establish that the treatment does indeed cause improvement in Ebola patients? (a) Randomly assign Ebola patients to one of two groups, either the treatment or placebo group, and then compare the fever of the two groups. (b) Identify Ebola patients who received the new treatment and those who did not, and then compare the fever of those two groups. (c) Identify clusters of villages and then stratify them by gender and compare the fevers of male and female groups. (d) Both studies (a) and (b) can be conducted in order to establish that the treatment does indeed cause improvement with regards to fever in Ebola patients.

MATLAB: An Introduction with Applications
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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### Determining the Effectiveness of a New Treatment for Reducing Ebola-Related Fever A researcher wants to determine if a new treatment is effective for reducing Ebola-related fever. What type of study should be conducted in order to establish that the treatment does indeed cause improvement in Ebola patients? 1. **Randomly assign Ebola patients to one of two groups**: - Options: Treatment group or placebo group - Method: Random assignment - Analysis: Compare the fever levels of the two groups 2. **Identify Ebola patients who received the new treatment and those who did not**: - Groups: Patients who received the treatment vs. those who did not - Analysis: Compare the fever levels of the two groups 3. **Identify clusters of villages and then stratify them by gender**: - Method: Stratification by gender within village clusters - Analysis: Compare the fever levels of male and female groups 4. **Combination of studies (a) and (b)**: - Conduct both the randomized study and the observational study - Analysis: Both methods together to reliably establish the treatment's effectiveness ### Explanation To reliably establish causation, the most robust study design generally involves random assignment to treatment and control groups. This reduces the impact of confounding variables and helps to ensure that any observed effects can be attributed to the treatment itself rather than other factors. Therefore, option (a) is typically the best choice for establishing causality. However, combining the results of a randomized controlled trial with observational data, as mentioned in option (d), can also provide additional insights and strengthen the conclusions.
Transcribed Image Text:### Determining the Effectiveness of a New Treatment for Reducing Ebola-Related Fever A researcher wants to determine if a new treatment is effective for reducing Ebola-related fever. What type of study should be conducted in order to establish that the treatment does indeed cause improvement in Ebola patients? 1. **Randomly assign Ebola patients to one of two groups**: - Options: Treatment group or placebo group - Method: Random assignment - Analysis: Compare the fever levels of the two groups 2. **Identify Ebola patients who received the new treatment and those who did not**: - Groups: Patients who received the treatment vs. those who did not - Analysis: Compare the fever levels of the two groups 3. **Identify clusters of villages and then stratify them by gender**: - Method: Stratification by gender within village clusters - Analysis: Compare the fever levels of male and female groups 4. **Combination of studies (a) and (b)**: - Conduct both the randomized study and the observational study - Analysis: Both methods together to reliably establish the treatment's effectiveness ### Explanation To reliably establish causation, the most robust study design generally involves random assignment to treatment and control groups. This reduces the impact of confounding variables and helps to ensure that any observed effects can be attributed to the treatment itself rather than other factors. Therefore, option (a) is typically the best choice for establishing causality. However, combining the results of a randomized controlled trial with observational data, as mentioned in option (d), can also provide additional insights and strengthen the conclusions.
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