Article

A Comparative Study of Methods for Handling Missing Data in Longitudinal Data with Implications for Causal Inference

2026-06-25

Abstract excerpt

<title>Abstract</title> <p>Objective Confounding bias and missing data are common methodological limitations of longitudinal cohort studies. Existing studies mostly address the two issues separately, while systematic evidence for the optimal combination of missing data handling and confounder control strategies in longitudinal causal inference remains insufficient. This study aimed to provide practical strategy...

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Literature Corpus work: 1de5a4b5-1d4b-57ba-b4a5-382130b7ddbd
DOI: 10.21203/rs.3.rs-10129751/v1

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