Results 1 to 10 of about 1,318,109 (301)

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   +7 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   +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   +3 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

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

Bioinformatics, 2018
Motivation Multi-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.
Hanna Julienne, Huwenbo Shi, B. Pasaniuc, H. Aschard   +3 more
semanticscholar   +8 more sources

Improved imputation of summary statistics for admixed populations [PDF]

bioRxiv, 2018
Motivation Summary statistics imputation can be used to infer association summary statistics of an already conducted, genotype-based meta-analysis to higher ge-nomic resolution.
S. Rüeger, Aaron F. McDaid, Z. Kutalik
semanticscholar   +3 more sources

Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts [PDF]

Bioinformatics, 2018
Motivation Methods based on summary statistics obtained from genome‐wide association studies have gained considerable interest in genetics due to the computational cost and privacy advantages they present.
Matteo Togninalli, D. Roqueiro, COPDGene Investigators, Karsten M. Borgwardt   +3 more
semanticscholar   +4 more sources

Evaluation of Multi-parameter Test Statistics for Multiple Imputation

Multivariate Behavioral Research, 2017
In Ordinary Least Square regression, researchers often are interested in knowing whether a set of parameters is different from zero. With complete data, this could be achieved using the gain in prediction test, hierarchical multiple regression, or an omnibus F test. However, in substantive research scenarios, missing data often exist. In the context of
Yu Liu, Craig K. Enders
semanticscholar   +5 more sources

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

Bioinformatics, 2015
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, E. Lange, Yun Li   +6 more
semanticscholar   +3 more sources

Development of an Australian cardiovascular disease mortality risk score using multiple imputation and recalibration from national statistics [PDF]

BMC Cardiovascular Disorders, 2017
ObjectiveTo develop and recalibrate an Australian 5-year cardiovascular disease (CVD) mortality risk score to produce contemporary predictions of risk.MethodsData were pooled from six Australian cohort studies (n = 54,829), with baseline data collected ...
K. Backholer, Y. Hirakawa, A. Tonkin, G. Giles, D. Magliano, S. Colagiuri, M. Harris, P. Mitchell, M. Nelson, J. Shaw, D. Simmons, L. Simons, Anne W. Taylor, J. Harding, B. Gopinath, M. Woodward   +15 more
semanticscholar   +2 more sources