Epidemiology Concepts Quiz
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Questions and Answers

What factor is necessary for establishing dietary causation of diabetes mellitus?

  • Popularity of the diet
  • Cost-effectiveness of the diet
  • Theoretical plausibility (correct)
  • Availability of resources
  • The concept of specificity asserts that an exposure can lead to multiple outcomes.

    False

    What is an example of a relationship that should not contradict established medical science?

    Smoking and hypertension.

    The ______ relationship indicates that increasing the dose of an exposure will affect the outcome.

    <p>dose-response</p> Signup and view all the answers

    Match the following criteria for establishing causation with their descriptions:

    <p>Theoretical plausibility = Aligns with existing scientific knowledge Coherence = Consistency with established facts Specificity = Single exposure leads to a single effect Dose-response relationship = Increased exposure leads to increased effect</p> Signup and view all the answers

    What defines internal validity in a study?

    <p>The accuracy of the estimate of effect measure</p> Signup and view all the answers

    Causal inference refers to the process of identifying noncausal relationships between variables.

    <p>False</p> Signup and view all the answers

    Name one source of error that can occur in epidemiologic studies.

    <p>random errors or sampling errors</p> Signup and view all the answers

    The goal of epidemiologic studies is to estimate the value of the parameter with little __________.

    <p>error</p> Signup and view all the answers

    Match the following types of validity with their descriptions:

    <p>Internal Validity = Validity within the study External Validity = Validity beyond the study</p> Signup and view all the answers

    What is the primary aim of randomization in the design stage of a study?

    <p>To randomize the distribution of confounders</p> Signup and view all the answers

    Stratified analysis ensures that confounders are unevenly distributed within each stratum.

    <p>False</p> Signup and view all the answers

    List one of Bradford Hill's criteria for causal inference.

    <p>Strength of association, Temporality, Consistency (any one is acceptable)</p> Signup and view all the answers

    A common method to restrict confounding factors in a study is called __________.

    <p>Restriction</p> Signup and view all the answers

    Match the following terms with their definitions:

    <p>Randomization = Aim to evenly distribute confounders Restriction = Limiting study participation based on confounders Matching = Creating equal distribution of confounders Multivariate analysis = Applying multiple statistical tests to analyze data</p> Signup and view all the answers

    What does the term 'temporality' refer to in causal inference?

    <p>A temporal relationship where exposure precedes disease</p> Signup and view all the answers

    In causation studies, consistency of findings across different populations and designs supports a causal inference.

    <p>True</p> Signup and view all the answers

    What does the presence of a higher risk ratio suggest regarding the association being studied?

    <p>It is more likely to be causal.</p> Signup and view all the answers

    What is one of the main results of confounding in research?

    <p>It distorts the estimation of the magnitude of association between exposure and disease.</p> Signup and view all the answers

    A causal association means that changes in one event are not followed by changes in another event.

    <p>False</p> Signup and view all the answers

    What is selection bias?

    <p>Selection bias occurs when a non-representative sample is used in a study.</p> Signup and view all the answers

    A ______ association occurs when the relationship of both factor and disease involves a third variable.

    <p>non-causal</p> Signup and view all the answers

    Match the type of bias with its description:

    <p>Selection Bias = Non-representative sample Information Bias = Inaccurate information collected Misclassification = Incorrect categorization of subjects Differential Bias = Non-random errors in data collection</p> Signup and view all the answers

    Which of the following best describes confounding?

    <p>The mixing of effects between two variables caused by a third variable.</p> Signup and view all the answers

    Information bias can occur due to inaccurate information collected from subjects.

    <p>True</p> Signup and view all the answers

    What are the two forms of misclassification?

    <p>Differential and Non-differential misclassification.</p> Signup and view all the answers

    The presence of a ______ associated with exposure and disease can lead to over or underestimation of associations.

    <p>confounder</p> Signup and view all the answers

    Which of the following is NOT a source of information bias?

    <p>Random sampling</p> Signup and view all the answers

    Study Notes

    Statistical Association

    • Characterizes the relationship between variables (positive or negative)
    • Uses statistical methods to describe the association

    Causal Inference

    • Assigns causal relationships to observed associations
    • Aims to understand if one variable causes a change in another

    Internal Validity

    • Accuracy of the study's effect estimate
    • Absence of systematic errors

    External Validity

    • Generalizability to a larger population
    • Absence of random errors

    Goal of Epidemiologic Studies

    • Accurate estimation of population parameters
    • Minimizing errors (random and systematic)

    Types of Errors

    • Random errors: Sampling errors (differences between population and sample values)
    • Systematic errors (biases and confounding): Distort association estimates (over or under-estimate the association)

    Association vs. Cause

    • Association: Identifiable relationship between exposure and outcome
    • Cause: Mechanisms connecting exposure to outcome

    Causal vs. Non-causal

    • Causal: Alteration in one event leads to a change in another
    • Non-causal: Association resulting from a relationship with a third variable

    Bias

    • Selection Bias: Non-representative sample (e.g., some people more likely to be chosen/be subjects)
    • Information Bias: Inaccurate information collected (e.g., misclassification)
      • Differential (non-random): Non-equal misclassification between groups
      • Non-differential (random): Similar misclassification in all groups

    Confounding

    • Mixture of exposure effect with that of a third factor (confounder)
    • Confounder is associated with the exposure and a risk factor for the outcome.

    Controlling Confounding

    • Design stage: Randomization, Restriction, Matching
    • Analysis stage: Stratified analysis, Multivariate analysis

    Bradford Hill's Criteria for Causal Inference

    • Strength of Association: Higher risk ratio, higher likelihood of causation
    • Temporality: Exposure precedes the outcome
    • Consistency: Consistent findings across different studies, designs, and populations
    • Coherence: Consistency with existing knowledge about the natural history
    • Specificity: Exposure leads to a single outcome
    • Dose-Response Relation: Increase in exposure strength corresponds to increase in outcome
    • Experimental Evidence: Experimental data supporting the relationship (if applicable)
    • Analogy: Similar relationships observed in other situations

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    Description

    Test your knowledge on key concepts in epidemiology, including statistical association, causal inference, and validity. This quiz will assess your understanding of how relationships between variables are characterized and the importance of minimizing errors in studies.

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