The assumption that participant number 3 in the study below never developed the event of interest would likely lead to which of the following statistical errors? 1 4 6. 7 3 4 6. 7 8. 1 Number of Months Until the Event Participants
The assumption that participant number 3 in the study below never developed the event of interest would likely lead to which of the following statistical errors? 1 4 6. 7 3 4 6. 7 8. 1 Number of Months Until the Event Participants
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
The assumption that participant number 3 in the study below never developed the
Group of answer choices
Right Censoring
Left Censoring
Statistical Censoring
Noninformative Censoring

Transcribed Image Text:**Title: Understanding Statistical Errors in Event Studies**
**Question:** The assumption that participant number 3 in the study below never developed the event of interest would likely lead to which of the following statistical errors?
**Graph Explanation:**
The graph represents data from a study tracking the number of months until participants developed a specified event of interest. The x-axis is labeled "Number of Months Until the Event," while the y-axis is labeled "Participants." The bars represent the duration for each participant:
1. Participant 1: 6 months
2. Participant 2: 3 months
3. Participant 3: 2 months
4. Participant 4: 4 months
5. Participant 5: 7 months
6. Participant 6: 5 months
7. Participant 7: 3 months
At the bottom of the graph, there is an option labeled "Right Censoring," which refers to the statistical technique used when a study ends before some participants experience the event of interest.
**Understanding Censoring and Statistical Errors:**
Censoring occurs when the exact time of an event is unknown; in the case of right censoring, it is unknown if the event has occurred after a certain point. Assuming participant number 3 never developed the event may lead to misclassification and erroneous conclusions about the occurrence and timing of the event across the study's participants, potentially skewing results with underestimation errors.
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