Results 271 to 280 of about 216,838 (308)

Robust data imputation

Computational Biology and Chemistry, 2009
Single imputation methods have been wide-discussed topics among researchers in the field of bioinformatics. One major shortcoming of methods proposed until now is the lack of robustness considerations. Like all data, gene expression data can possess outlying values.
vanden Branden, Karlien, Verboven, Sabine   +1 more
openaire   +3 more sources

Multiple imputation: a primer

Statistical Methods in Medical Research, 1999
In recent years, multiple imputation has emerged as a convenient and flexible paradigm for analysing data with missing values. Essential features of multiple imputation are reviewed, with answers to frequently asked questions about using the method in practice.
openaire   +2 more sources

An Experimental Survey of Missing Data Imputation Algorithms

IEEE Transactions on Knowledge and Data Engineering, 2022
Xiaoye Miao, Yangyang Wu, Lu Chen
exaly  

Multiple imputation with missing data indicators

Statistical Methods in Medical Research, 2021
Lauren J Beesley, Irina Bondarenko, Allison W Kurian   +2 more
exaly  

Mentalist Imputations

Science, 1992
openaire   +2 more sources

Review: A gentle introduction to imputation of missing values

Journal of Clinical Epidemiology, 2006
Geert J M G van der Heijden, Karel G M Moons   +1 more
exaly  

Imputation

1987
openaire   +1 more source

Multiple imputation using chained equations: Issues and guidance for practice

Statistics in Medicine, 2011
Ian R White, Patrick Royston, Angela M Wood   +2 more
exaly  

Imputation (Imputability)

2017
openaire   +1 more source

The proportion of missing data should not be used to guide decisions on multiple imputation

Journal of Clinical Epidemiology, 2019
Paul Madley-Dowd, Rachael A Hughes, Kate Tilling   +2 more
exaly