Evaluating multiple imputation methods for longitudinal healthy aging index - a score variable with data missing due to death, dropout and several missing data mechanisms
The healthy aging index (HAI) is a score variable based on five clinical components. I assess how well it predicts mortality in a sample of older adults from the Framingham Heart Study (FHS). Over 30% of FHS participants have missing HAI across time; I investigate how well imputation methods perform...
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| Language: | en_US |
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2018
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| Online Access: | https://hdl.handle.net/2144/27352 |