Lesson 1: Introduction to Epidemiology and Biostatistics

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Comprensive practice questions covering the fundamentals of epidemiology, study designs, error management, and statistical regression models based on lecture notes.

Last updated 4:47 PM on 6/3/26
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18 Terms

1
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What is the definition of epidemiology?

The study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to control health problems.

2
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Contrast morbidity and mortality as core concepts in epidemiology.

Morbidity refers to illness or disease status, while mortality refers to the death rate.

3
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Identify the three questions addressed by descriptive epidemiology.

Who (person), Where (place), and When (time).

4
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What is the primary direction of a cohort study?

Forward (prospective or retrospective); it moves from Exposure to Outcome.

5
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Which study design is most efficient for studying rare diseases?

Case-control study.

6
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What is the main limitation of a cross-sectional study?

It cannot determine cause and effect or infer temporality because it measures exposure and outcome simultaneously (snapshot).

7
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What are the three components of the Epidemiological Triad?

Host (the organism), Agent (the cause), and Environment (external factors affecting exposure).

8
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How is the Incidence Rate calculated?

Number of new cases÷Population at risk over time\text{Number of new cases} \div \text{Population at risk over time}

9
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Define point prevalence.

The proportion of people with a disease at a specific point in time, calculated as Number of existing cases at a point in time÷Total population at that time\text{Number of existing cases at a point in time} \div \text{Total population at that time}.

10
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What is the formula for the Case Fatality Rate?

Deaths÷Total diagnosed cases\text{Deaths} \div \text{Total diagnosed cases}

11
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How is Infant Mortality Rate defined?

Deaths in children < 1 year÷Live births\text{Deaths in children < 1 year} \div \text{Live births}

12
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How does random error differ from systematic error (bias)?

Random error occurs by chance and affects precision, whereas systematic error is a consistent flaw that affects accuracy.

13
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What are two subtypes of information bias?

Recall Bias (cases remember exposures better than controls) and Observer Bias (investigator expectations influence observations).

14
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What is the purpose of randomization in an experimental study?

To eliminate selection bias and balance known and unknown confounders evenly across groups.

15
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Define the levels of blinding: single-blind, double-blind, and triple-blind.

Single-blind: participants are unaware; Double-blind: participants and researchers are unaware; Triple-blind: participants, researchers, and statisticians are unaware.

16
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What three criteria must a variable meet to be a confounder?

  1. Associated with the exposure; 2. Independently associated with the outcome; 3. Not an intermediate step in the causal pathway.
17
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When is Logistic Regression typically used in epidemiology?

When the outcome (dependent variable) is binary (has only two categories) and to estimate Odds Ratios (OROR).

18
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Which regression model is used for time-to-event data?

Cox Proportional Hazards Regression.