Strategies for handling missing data that improve Frailty Index estimation and predictive power: lessons from the NHANES dataset

Glen Pridham; Kenneth Rockwood; Andrew Rutenberg

doi:10.1007/s11357-021-00489-w

Strategies for handling missing data that improve Frailty Index estimation and predictive power: lessons from the NHANES dataset

Glen Pridham, Kenneth Rockwood, Andrew Rutenberg

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	897-923
Number of pages	27
Journal	GeroScience
Volume	44
Issue number	2
DOIs	https://doi.org/10.1007/s11357-021-00489-w
Publication status	Published - Apr 2022

ASJC Scopus Subject Areas

Geriatrics and Gerontology
Cardiology and Cardiovascular Medicine
Ageing
Complementary and alternative medicine
veterinary (miscalleneous)

Keywords

CART
Frailty Index
Imputation
MICE
Missing data
Survival

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10.1007/s11357-021-00489-w

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title = "Strategies for handling missing data that improve Frailty Index estimation and predictive power: lessons from the NHANES dataset",

keywords = "CART, Frailty Index, Imputation, MICE, Missing data, Survival",

author = "Glen Pridham and Kenneth Rockwood and Andrew Rutenberg",

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year = "2022",

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KW - Missing data

KW - Survival

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Strategies for handling missing data that improve Frailty Index estimation and predictive power: lessons from the NHANES dataset

ASJC Scopus Subject Areas

Keywords

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