Results 1 to 10 of about 199,171 (299)

Plausible-Value Imputation Statistics for Detecting Item Misfit. [PDF]

Appl Psychol Meas, 2017
When tests consist of a small number of items, the use of latent trait estimates for secondary analyses is problematic. One area in particular where latent trait estimates have been problematic is when testing for item misfit. This article explores the use of plausible-value imputations to lessen the severity of the inherent measurement unreliability ...
Chalmers RP, Ng V.
europepmc   +6 more sources

PRED-LD: efficient imputation of GWAS summary statistics [PDF]

BMC Bioinformatics
Background Genome-wide association studies have identified connections between genetic variations and diseases, but they only examine a small portion of single nucleotide polymorphisms.
Georgios A. Manios, Aikaterini Michailidi, Panagiota I. Kontou, Pantelis G. Bagos   +3 more
doaj   +4 more sources

New Trends in Evidence-based Statistics: Data Imputation Problems

Статистика України, 2019
The main reasons for omissions are: 1. Exclusion of the subject from the study due to non-compliance with study requirements; 2. The occurrence of an adverse event; 3. Missing result; 4. Lack of registration; 5.
N. V. Kovtun, A.-N. Ya. Fataliieva
doaj   +4 more sources

Missing data imputation and corrected statistics for large-scale behavioral databases [PDF]

Behavior Research Methods, 2011
This paper presents a new methodology to solve problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, and a new method of imputation for missing data is ...
Pierre Courrieu, Arnaud Rey
core   +10 more sources

Fast and accurate imputation of summary statistics enhances evidence of functional enrichment [PDF]

, 2014
Imputation using external reference panels is a widely used approach for increasing power in GWAS and meta-analysis. Existing HMM-based imputation approaches require individual-level genotypes.
Bogdan Paşaniuc, Noah Zaitlen, Huwenbo Shi, Gaurav Bhatia, Alexander Gusev, Joseph K. Pickrell, Joel N. Hirschhorn, David P. Strachan, Hon‐Cheong So, Alkes L. Price   +9 more
openalex   +4 more sources

DISSCO: direct imputation of summary statistics allowing covariates [PDF]

Bioinformatics, 2020
Abstract Background: Imputation of individual level genotypes at untyped markers using an external reference panel of genotyped or sequenced individuals has become standard practice in genetic association studies. Direct imputation of summary statistics can also be valuable, for example in meta-analyses where individual level genotype ...
Zheng Xu, Qing Duan, Song Yan, Wei Chen, Mingyao Li, Ethan M. Lange, Yun Li   +6 more
openalex   +3 more sources

DISTMIX: direct imputation of summary statistics for unmeasured SNPs from mixed ethnicity cohorts [PDF]

, 2015
Motivation: To increase the signal resolution for large-scale meta-analyses of genome-wide association studies, genotypes at unmeasured single nucleotide polymorphisms (SNPs) are commonly imputed using large multi-ethnic reference panels.
Donghyung Lee, T. Bernard Bigdeli, Vernell Williamson, Vladimir I. Vladimirov, Brien P. Riley, Ayman H. Fanous, Silviu‐Alin Bacanu   +6 more
openalex   +5 more sources

Optimal class of memory type imputation methods for time-based surveys using EWMA statistics [PDF]

Scientific Reports
Time-based surveys often experience missing data due to several reasons, like non-response or data collection limitations. Imputation methods play an essential role in incorporating these missing values to secure the accuracy and reliability of the ...
Anoop Kumar, Shashi Bhushan, Abdullah Mohammed Alomair   +2 more
doaj   +2 more sources

RAISS: Robust and Accurate imputation from Summary Statistics [PDF]

Bioinformatics, 2018
AbstractMotivationMulti-trait analyses using public summary statistics from genome-wide association studies (GWAS) are becoming increasingly popular. A constraint of multi-trait methods is that they require complete summary data for all traits. While methods for the imputation of summary statistics exist, they lack precision for genetic variants with ...
Hanna Julienne, Huwenbo Shi, Bogdan Paşaniuc, Hugues Aschard   +3 more
openalex   +7 more sources

DIST: direct imputation of summary statistics for unmeasured SNPs [PDF]

Bioinformatics, 2013
Abstract Motivation: Genotype imputation methods are used to enhance the resolution of genome-wide association studies, and thus increase the detection rate for genetic signals. Although most studies report all univariate summary statistics, many of them limit the access to subject-level genotypes.
Donghyung Lee, Tim B. Bigdeli, Brien P. Riley, Ayman H. Fanous, Silviu‐Alin Bacanu   +4 more
openalex   +4 more sources