Discuss the implications of non-random attrition in longitudinal studies and how to address it.
Instruction: Explain the impact of non-random attrition on causal inference and potential methods to mitigate this issue.
Context: This question assesses the candidate's ability to recognize and address the challenges posed by attrition bias in longitudinal causal analysis.
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Attrition can bias a longitudinal comparison when remaining observed depends on factors related to the outcome. Report when and why participants leave, how loss differs by study group, and which outcomes are no longer observed. Prevention and follow-up design are valuable before any statistical correction.
Inverse-probability-of-censoring weighting can reweight...