In a cross-sectional study on diabetes prevalence, diabetics with complications attend hospital more frequently and are overrepresented in the sample. This is an example of:

• A Recall bias
• B Berkson's bias ✓
• C Observer bias
• D Length-biased sampling

Explanation

Berkson's bias (admission rate bias) occurs when hospital-based case-control or cross-sectional studies select patients, creating a spurious association because the risk factors for hospitalization differ from those in the general population. Complicated diabetics are more likely to be hospitalized, leading to overrepresentation. Recall bias involves differential recall; observer bias is from the investigator; length-biased sampling affects screening studies.

Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.

High-yield for: NEET PGINI-CETNExTFMGEUSMLEPLABMRCP

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