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   Articles with "imputation" as a keyword



Phasing and imputation of single nucleotide polymorphism data of missing parents of biparental plant populations

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recommendations! Published in 2021 at "Crop Science"

DOI: 10.1002/csc2.20409

Abstract: Abstract This paper presents an extension to a heuristic method for phasing and imputation of genotypes of descendants in biparental populations so that it can phase and impute genotypes of parents that are ungenotyped or… read more here.

Keywords: imputation; imputed genotypes; imputation accuracy; parent ... See more keywords

PreCimp: Pre‐collapsing imputation approach increases imputation accuracy of rare variants in terms of collapsed variables

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recommendations! Published in 2017 at "Genetic Epidemiology"

DOI: 10.1002/gepi.22020

Abstract: Imputation is widely used for obtaining information about rare variants. However, one issue concerning imputation is the low accuracy of imputed rare variants as the inaccurate imputed rare variants may distort the results of region‐based… read more here.

Keywords: imputation; accuracy; collapsed variables; pre collapsing ... See more keywords

On the differences between mega‐ and meta‐imputation and analysis exemplified on the genetics of age‐related macular degeneration

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recommendations! Published in 2019 at "Genetic Epidemiology"

DOI: 10.1002/gepi.22204

Abstract: While current genome‐wide association analyses often rely on meta‐analysis of study‐specific summary statistics, individual participant data (IPD) from multiple studies increase options for modeling. When multistudy IPD is available, however, it is unclear whether this… read more here.

Keywords: imputation; age related; analysis; genetics ... See more keywords

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

Computational Methods for Data Integration and Imputation of Missing Values in Omics Datasets

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recommendations! Published in 2024 at "PROTEOMICS"

DOI: 10.1002/pmic.202400100

Abstract: Molecular profiling of different omic‐modalities (e.g., DNA methylomics, transcriptomics, proteomics) in biological systems represents the basis for research and clinical decision‐making. Measurement‐specific biases, so‐called batch effects, often hinder the integration of independently acquired datasets, and… read more here.

Keywords: integration; methods data; computational methods; imputation ... See more keywords

A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data

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recommendations! Published in 2025 at "Statistics in Medicine"

DOI: 10.1002/sim.70325

Abstract: Ecological Momentary Assessments (EMA) capture real‐time thoughts and behaviors in natural settings, producing rich longitudinal data for statistical analyses. However, the robustness of these analyses can be compromised by the large amount of missing data… read more here.

Keywords: mixed models; multiple imputation; model; imputation ... See more keywords

Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data.

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recommendations! Published in 2025 at "Statistics in medicine"

DOI: 10.1002/sim.70335

Abstract: Despite advancements in healthcare data management, missing data in electronic health records (EHR) and patient‐reported outcomes remain a persistent challenge, limiting their usability in healthcare analytics. Conventional imputation methods often struggle to capture complex nonlinear… read more here.

Keywords: missing data; informed shared; shared structure; healthcare data ... See more keywords

A fair comparison of tree-based and parametric methods in multiple imputation by chained equations.

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recommendations! Published in 2020 at "Statistics in medicine"

DOI: 10.1002/sim.8468

Abstract: Multiple imputation by chained equations (MICE) has emerged as a leading strategy for imputing missing epidemiological data due to its ease of implementation and ability to maintain unbiased effect estimates and valid inference. Within the… read more here.

Keywords: imputation chained; imputation; multiple imputation; tree based ... See more keywords

Multiple imputation for longitudinal data using Bayesian lasso imputation model

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9315

Abstract: Multiple imputation is a promising approach to handle missing data and is widely used in analysis of longitudinal clinical studies. A key consideration in the implementation of multiple imputation is to obtain accurate imputed values… read more here.

Keywords: imputation model; lasso imputation; multiple imputation; imputation ... See more keywords

Substantive model compatible multilevel multiple imputation: A joint modeling approach

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9549

Abstract: Substantive model compatible multiple imputation (SMC‐MI) is a relatively novel imputation method that is particularly useful when the analyst's model includes interactions, non‐linearities, and/or partially observed random slope variables. read more here.

Keywords: compatible multilevel; model compatible; model; multiple imputation ... See more keywords

An adapted vector autoregressive expectation maximization imputation algorithm for climate data networks

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recommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Computational Statistics"

DOI: 10.1002/wics.1494

Abstract: Missingness in historical climate data networks is a pervasive phenomenon due to the conditions under which these measurements are made. Accurate estimation of these data is a critical issue as projections of future climate depend… read more here.

Keywords: climate; historical climate; imputation; climate data ... See more keywords