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   Articles with "imputation missing" as a keyword



Imputation of missing values in lipidomic datasets

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recommendations! Published in 2024 at "PROTEOMICS"

DOI: 10.1002/pmic.202300606

Abstract: Lipidomic data often exhibit missing data points, which can be categorized as missing completely at random (MCAR), missing at random, or missing not at random (MNAR). In order to utilize statistical methods that require complete… read more here.

Keywords: random; imputation missing; lipidomic datasets; imputation ... See more keywords

Multiple imputation under missing not at random: incorporating response indicators into sequential imputation

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recommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2025.2558859

Abstract: Multiple imputation (MI) of missing values is mostly applied under the assumption of missing at random (MAR), but the alternative missing not at random (MNAR) assumption may be more plausible. MI approaches that include response… read more here.

Keywords: multiple imputation; imputation missing; missing random; imputation ... See more keywords

Imputation of Missing Covariates in Randomized Controlled Trials with Continuous Outcomes: Simple, Unbiased and Efficient Methods

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recommendations! Published in 2022 at "Journal of Biopharmaceutical Statistics"

DOI: 10.1080/10543406.2021.2011898

Abstract: ABSTRACT The literature on dealing with missing covariates in nonrandomized studies advocates the use of sophisticated methods like multiple imputation (MI) and maximum likelihood (ML)-based approaches over simple methods. However, these methods are not necessarily… read more here.

Keywords: simple methods; imputation missing; randomized controlled; missing covariates ... See more keywords

Pattern Recognition for Imputation of Missing Radial Surface Current Data

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recommendations! Published in 2025 at "IEEE Journal of Oceanic Engineering"

DOI: 10.1109/joe.2024.3441022

Abstract: Surface currents can be accurately measured remotely using high-frequency radars, with the drawback that those measurements are susceptible to external interference resulting in frequent gaps in data. In this article, we compare the gap-filling accuracy… read more here.

Keywords: recognition imputation; pattern recognition; imputation missing; surface ... See more keywords