Phasing and imputation of single nucleotide polymorphism data of missing parents of biparental plant populations
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A fair comparison of tree-based and parametric methods in multiple imputation by chained equations.
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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
Sign Up to like & getrecommendations! 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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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
Sign Up to like & getrecommendations! 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
Genotyping, the Usefulness of Imputation to Increase SNP Density, and Imputation Methods and Tools.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2205-6_4
Abstract: Imputation has become a standard practice in modern genetic research to increase genome coverage and improve accuracy of genomic selection and genome-wide association study as a large number of samples can be genotyped at lower… read more here.
Keywords: reference; accuracy; density; imputation ... See more keywords
A data-driven missing value imputation approach for longitudinal datasets
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DOI: 10.1007/s10462-021-09963-5
Abstract: Longitudinal datasets of human ageing studies usually have a high volume of missing data, and one way to handle missing values in a dataset is to replace them with estimations. However, there are many methods… read more here.
Keywords: imputation; driven missing; missing value; data driven ... See more keywords
What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns
Sign Up to like & getrecommendations! Published in 2021 at "Quality of Life Research"
DOI: 10.1007/s11136-021-03037-3
Abstract: Although multiple imputation is the state-of-the-art method for managing missing data, mixed models without multiple imputation may be equally valid for longitudinal data. Additionally, it is not clear whether missing values in multi-item instruments should… read more here.
Keywords: imputation; multiple imputation; mixed models; approach mixed ... See more keywords
A Bootstrapping Assessment on A U.S. Education Indicator Construction Through Multiple Imputation
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DOI: 10.1007/s11205-020-02507-4
Abstract: Under a matrix sampling design, no students complete all test booklets in the National Assessment of Educational Progress (NAEP). To construct an education indicator on what students know and can do, multiple imputation (MI) is… read more here.
Keywords: imputation; education indicator; multiple imputation; indicator ... See more keywords