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Midterm Exam: NR503 / NR 503
( Update 2025 / 2026) Population Health, Epidemiology & Statistical Principles Questions with Answers – Chamberlain
Question:
Causation
Answer:
refers to the relationship between two events where one event being the cause directly leads to the occurrence of the other event the effect
Question:
How are causation and descriptive epidemiology related? How do they work together to aid evidence base care?
Answer:
Descriptive epidemiology helps identify and characterize health problems while research into causation provides the evidence and needed to develop effective interventions 1 / 4
Question:
The 5W's of descriptive epidemiology
Answer:
What: health issue of concern
who: person
where: place
when: time
Why/how: causes, risk factors, modes of transmission?
Question:
What is a pro and con of randomized controlled trials?
Answer:
They are believed to provide the most reliable scientific evidence, but they are expensive, time-consuming and difficult to conduct for ethical reasons. What is the best fit for studying association?
Question:
Which study is typically least expensive and shorter
Answer:
Case control
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Question:
Information bias
Answer:
Deals with how information or data are collected for a study
Question:
Selection bias
Answer:
Occurs when the selected subjects in a sample are not representative of the population of interest or representative of the comparison group, and as a result, this selection of subjects can make it that there is or is not an association between exposure and an outcome
Question:
Highest level of data findings
Answer:
Systematic review and met analysis
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Question:
Evidence appraisal
Answer:
Validity, relevance, consistency impact Assess the studies Ensure the evidence is applicable, look for similar findings across different studies Evaluate the magnitude of the findings and clinical significance
Question:
Quality of care outcomes
Answer:
Decrease an incident being new cases, reduction and mortality rate access to primary care measures measures daily demand and supply
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