Results 41 to 50 of about 1,318,109 (301)
Comparison of regression imputation methods of baseline covariates that predict survival outcomes
Journal of Clinical and Translational Science, 2021 Introduction: Missing data are inevitable in medical research and appropriate handling of missing data is critical for statistical estimation and making inferences.
Nicole Solomon +2 more
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Multiple Imputation to Balance Unbalanced Designs for Two-Way Analysis of Variance
Methodology, 2021 A balanced ANOVA design provides an unambiguous interpretation of the F-tests, and has more power than an unbalanced design. In earlier literature, multiple imputation was proposed to create balance in unbalanced designs, as an alternative to Type-III ...
Joost R. van Ginkel +1 more
doaj +1 more source
Are Attribute Inference Attacks Just Imputation? [PDF]
Conference on Computer and Communications Security, 2022 Models can expose sensitive information about their training data. In an attribute inference attack, an adversary has partial knowledge of some training records and access to a model trained on those records, and infers the unknown values of a sensitive ...
Bargav Jayaraman, David Evans
semanticscholar +1 more source
A New Statistic to Evaluate Imputation Reliability
PLoS ONE, 2010 As the amount of data from genome wide association studies grows dramatically, many interesting scientific questions require imputation to combine or expand datasets. However, there are two situations for which imputation has been problematic: (1) polymorphisms with low minor allele frequency (MAF), and (2) datasets where subjects are genotyped on ...
Lin, Peng +11 more
openaire +4 more sources
Evaluation and application of summary statistic imputation to discover new height-associated loci.
PLoS Genetics, 2018 As most of the heritability of complex traits is attributed to common and low frequency genetic variants, imputing them by combining genotyping chips and large sequenced reference panels is the most cost-effective approach to discover the genetic basis ...
Sina Rüeger +2 more
doaj +1 more source
A Comparative Study of Various Methods for Handling Missing Data in UNSODA
Agriculture, 2021 UNSODA, a free international soil database, is very popular and has been used in many fields. However, missing soil property data have limited the utility of this dataset, especially for data-driven models. Here, three machine learning-based methods, i.e.
Yingpeng Fu, Hongjian Liao, Longlong Lv
doaj +1 more source
A unifying framework for summary statistic imputation [PDF]
, 2018 AbstractImputation has been widely utilized to aid and interpret the results of Genome-Wide Association Studies(GWAS). Imputation can increase the power to identify associations when the causal variant was not directly observed or typed in the GWAS. There are two broad classes of methods for imputation.
Wu, Yue +2 more
openaire +1 more source
Recovering High‐Quality Host Genomes from Gut Metagenomic Data through Genotype Imputation
Advanced Genetics, 2022 Metagenomic datasets of host‐associated microbial communities often contain host DNA that is usually discarded because the amount of data is too low for accurate host genetic analyses.
Sofia Marcos +3 more
doaj +1 more source
PLoS Genetics, 2022 Transcriptome wide association studies (TWAS) can be used as a powerful method to identify and interpret the underlying biological mechanisms behind GWAS by mapping gene expression levels with phenotypes.
Andrew E Liu, Hyun Min Kang
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Imputation and system modeling of acid-base state parameters for different groups of patients [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2022 The paper investigated the possibility of correct replacement of missing values in sets of acid-base state in the artery and vein in different groups of patients with different outcomes of the disease: “discharged”, “died”, “transferred to another ...
Dmitry I. Kurapeev +3 more
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