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Intermediate Epidemiology Review 2024/2025 Exam Questions and Answers 100% Guaranteed Success | Already Rated A+

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Intermediate Epidemiology Review 2024/2025 Exam Questions and Answers 100% Guaranteed Success | Already Rated A+ Non-differential misclassification of exposure -

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Intermediate Epidemiology Review
2024/2025 Exam Questions and Answers
100% Guaranteed Success | Already
Rated A+


Non-differential misclassification of exposure - 🧠ANSWER ✔✔Bias toward the

null

Non-differential misclassification of outcome (usually) - 🧠ANSWER ✔✔Bias

toward the null

Non-differential misclassification of outcome (sensitivity is misclassified- non-

perfect) - 🧠ANSWER ✔✔Then there will be no bias

Non-differential misclassification of exposure and outcome using odds ratio -

🧠ANSWER ✔✔Bias toward the null

Differential misclassification of exposure - 🧠ANSWER ✔✔Bias toward or away

from the null

over ascertainment of cases in a cohort - 🧠ANSWER ✔✔Risk difference is biased

toward the null




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,under ascertainment of cases in a cohort - 🧠ANSWER ✔✔Risk ratio is biased

toward the null

Both over and under ascertainment of cases in a cohort - 🧠ANSWER ✔✔Risk

ratio and risk difference biased toward the null

Sufficient cause model - 🧠ANSWER ✔✔Sufficient but not necessary

Necessary but not sufficient

Sufficient cause model and attributable risk - 🧠ANSWER ✔✔Of people who do

two things (i.e. smoke and drink), how much of their risk is attributable to just

one of the risks (i.e. just smoking). You look at overall risk for smoking (3 non-

drinking smokers have disease and 12 drinking-smokers have disease), that

means that 12 out of 15 of the cases came from drinking AND smoking together

(12/15), now there are 12 cases among drinking-smokers so (12/15) * number of

cases=12= ARF.

Special Exposure Cohort studies - 🧠ANSWER ✔✔People who were exposed to

something specific

General Population - 🧠ANSWER ✔✔Population "giving rise to the cases" is the

entire general population




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, Closed cohort - 🧠ANSWER ✔✔This is static. Exposure status is determined at the

beginning of the study and cannot be changed throughout. People are followed

overtime until they die, get disease, or are lost. They are not replaced, and thus

the population of the cohort will decrease over time and eventually run out.

You can directly calculate risks and incidence proportions.



Issues: what if people die, can we be sure they would not have gotten disease

had they lived longer? also, what if people get a disease more than once? if we

include them in our proportion it could be greater than 1.0, but if we don't then

we may underestimate the true burden of disease.

Open cohort - 🧠ANSWER ✔✔Dynamic. People enter in and out of study freely,

and new people can be accepted after study begins. Similarly, people's exposure

status can CHANGE over time.

For this reason, we can calculate incidence RATE.

Immortal person time - 🧠ANSWER ✔✔When a cohort study has inappropriately

been designed in a way that ensures that everyone will survive for a specific

period of time.

Usually come because one of the entry criteria into the study is dependent upon

survival.
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