Encyclopedia of Gerontology and Population Aging 2021
DOI: 10.1007/978-3-030-22009-9_811
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Recruitment and Retention in Aging Research

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“…Including decease, as indicated by Diaz-Venegas et al (2018), reduces the possibility of a survival selection bias. The main source of attrition in the MHAS is mortality, while others are lost primarily due to inability to locate them; attrition rates are comparable to those reported for the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA) (Orozco-Rocha et al, 2018). In addition to age, health and disability indicators are strong predictors of attrition through their effects on mortality; nevertheless, the results of Parker et al (2018) and Conti and Ginja (2020) suggest that our analysis is unlikely to be biased by differential attrition related to program participation.…”
Section: Methodsmentioning
confidence: 65%
“…Including decease, as indicated by Diaz-Venegas et al (2018), reduces the possibility of a survival selection bias. The main source of attrition in the MHAS is mortality, while others are lost primarily due to inability to locate them; attrition rates are comparable to those reported for the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA) (Orozco-Rocha et al, 2018). In addition to age, health and disability indicators are strong predictors of attrition through their effects on mortality; nevertheless, the results of Parker et al (2018) and Conti and Ginja (2020) suggest that our analysis is unlikely to be biased by differential attrition related to program participation.…”
Section: Methodsmentioning
confidence: 65%