Association analysis of self‐reported outcomes with a validated subset

• Published in: Statistics in medicine Vol. 43; no. 4; pp. 642 - 655
• Main Authors: Mirzaei, Sedigheh, Martínez, José M., Chow, Eric J., Ness, Kirsten K., Hudson, Melissa M., Armstrong, Gregory T., Yasui, Yutaka
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 20.02.2024; Wiley Subscription Services, Inc
• Subjects: Bias; Child; Childhood cancer survivors; Clinical outcomes; Cohort analysis; Cohort Studies; Generalized linear model; Generalized linear models; Health sciences; Humans; Late effects of cancer therapy; Observational studies; Observational study; Patient Reported Outcome Measures; Patient‐reported outcomes; Recall bias; Self Report; Surveys and Questionnaires; Recall bias; Generalized linear model; Observational study; Childhood cancer survivors; Patient-reported outcomes; Late effects of cancer therapy

In health‐science research, outcomes ascertained through surveys and interviews are subject to potential bias with respect to the true outcome status, which is only ascertainable with clinical and laboratory assessment. This measurement error may lead to biased inference when evaluating associations...