Article

Impact of Participation Bias on Disease Prevalence Estimation in the<i>All of Us</i>Research Program: A Case Study of Ischemic Heart Disease and Stroke

2024-10-16

Abstract excerpt

<h4>Importance</h4> Disease prevalence estimation is highly sensitive to sample characteristics shaped by recruitment and data collection strategies. Using follow-up study modules that require active participant engagement may introduce participation bias, affecting the accuracy of disease prevalence estimation. <h4>Objective</h4> To estimate the prevalence of ischemic heart disease (IHD) and stroke using electron...

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Literature Corpus work: ff12bf36-77a8-5b4c-aeb8-dbc97af11286
DOI: 10.1101/2024.10.15.24315558

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