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Selection bias and competing risk

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This manuscript uncovers selection bias impacting competing risks in public health, highlighting implications for epidemiological research.

Selection bias significantly affects outcomes in public health studies, resulting in skewed interpretations.
Key evidence suggests that when competing risks aren't properly accounted for, results may be misleading or inaccurate.
This analysis utilizes epidemiological models to assess the effects of selection bias on competing risks across various studies.
Understanding these biases may improve research accuracy and inform better public health strategies.

C. Mary Schooling (2025) studied this question.

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This manuscript uncovers selection bias impacting competing risks in public health, highlighting implications for epidemiological research.