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Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry

Clinical registries, which capture information about the health and healthcare use of patients with a health condition or treatment, often contain patient-reported outcomes (PROs) that provide insights about the patient’s perspectives on their health. Missing data can affect the value of PRO data for healthcare decision-making. We compared the precision and bias of several missing data methods when estimating longitudinal change in PRO scores.

New publication in Health and Quality of Life Outcomes.

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