Epidemiology Chapter 10 Flashcards

Study Notes

Bias in Epidemiology

Bias refers to a systematic error that distorts the relationship between exposure and disease.
It leads to incorrect conclusions regarding associations in studies.

Confounding Factors

Confounding occurs when the effects of an exposure, disease, and an additional variable (confounder) are mixed, complicating interpretations.
Identifying confounders is crucial for accurate study results.

Random Error

Random error signifies variability in results attributed to chance, lacking an identifiable cause.
Such error is unpredictable and can affect the reliability of findings.

Selection Bias

Selection bias arises during the subject selection process, causing misrepresentation in case-control or retrospective cohort studies.
It can also occur in prospective studies due to differential loss to follow-up, highlighting the importance of participant retention.

Observation Bias

Observation bias results from systematic differences in data collection on exposure or disease among study groups.
Incorrect classifications of subjects can occur, impacting research integrity. Types include recall bias, interviewer bias, and misclassification.

Recall Bias

Recall bias is a systematic error rooted in the accuracy of participants' memory regarding past events.
It may lead to over- or under-estimation of associations; mitigations include employing sick controls, using standardized questionnaires, and masking hypotheses.

Interviewer Bias

Interviewer bias occurs due to systematic differences in information collection during interviews, especially when outcome knowledge influences questioning.
To reduce this bias, interviewers can be blinded to the study hypothesis and participant status.

Misclassification

Misclassification involves incorrect categorization of individuals regarding exposure or disease status.
It can be classified into non-differential and differential misclassification, with non-differential being more common.

Nondifferential Misclassification

Nondifferential misclassification occurs when subject categorization errors regarding exposure are unrelated to disease status.
This form tends to underestimate apparent associations, making groups appear more similar than they actually are.

Direction of Bias: Towards the Null

Positive associations biased towards the null value indicate that true associations are underestimated.
Conversely, preventive associations can be biased towards the null, also leading to underestimation.
Positive or preventive associations biased away from the null can result in overestimation of true relationships.

Description

Test your knowledge of key terms from Epidemiology Chapter 10 with these flashcards. This quiz covers essential concepts such as bias, confounding, and random error. Perfect for students looking to reinforce their understanding of epidemiological principles.