Results 51 to 60 of about 199,171 (299)
Imputation of truncated p-values for meta-analysis methods and its genomic application
, 2014 Microarray analysis to monitor expression activities in thousands of genes simultaneously has become routine in biomedical research during the past decade.
Ding, Ying +5 more
core +1 more source
Statistical Matching of Administrative and Survey Data : An Application to Wealth Inequality Analysis [PDF]
, 2013 Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence
Frick, Joachim R. +2 more
core +2 more sources
Fractional Imputation in Survey Sampling: A Comparative Review [PDF]
, 2015 Fractional imputation (FI) is a relatively new method of imputation for handling item nonresponse in survey sampling. In FI, several imputed values with their fractional weights are created for each missing item.
Kim, Jae Kwang +2 more
core +4 more sources
The HCUP SID Imputation Project: Improving Statistical Inferences for Health Disparities Research by Imputing Missing Race Data [PDF]
Health Services Research, 2017 ObjectiveTo identify the most appropriate imputation method for missing data in the HCUP State Inpatient Databases (SID) and assess the impact of different missing data methods on racial disparities research.Data Sources/Study SettingHCUP SID.Study DesignA novel simulation study compared four imputation methods (random draw, hot deck, joint multiple ...
Yan, Ma +3 more
openaire +2 more sources
Analysis of Incomplete Compound Variables [PDF]
, 2015 This is the peer reviewed version of the following article: Zhao, J., Cook, R. J. and Wu, C. (2015), Multiple imputation for the analysis of incomplete compound variables. Can J Statistics, 43: 240–264. doi: 10.1002/cjs.11249, which has been published in
Agresti +33 more
core +1 more source
Methods library of embedded R functions at Statistics Norway [PDF]
Revista Română de Statistică, 2017 Statistics Norway is modernising the production processes. An important element in this work is a library of functions for statistical computations. In principle, the functions in such a methods library can be programmed in several languages.
Øyvind Langsrud
doaj
A pseudo empirical likelihood approach for stratified samples with nonresponse
, 2009 Nonresponse is common in surveys. When the response probability of a survey variable $Y$ depends on $Y$ through an observed auxiliary categorical variable $Z$ (i.e., the response probability of $Y$ is conditionally independent of $Y$ given $Z$), a simple
Fang, Fang, Hong, Quan, Shao, Jun
core +1 more source
Statistical Analysis of Noise-Multiplied Data Using Multiple Imputation [PDF]
Journal of Official Statistics, 2013 Abstract A statistical analysis of data that have been multiplied by randomly drawn noise variables in order to protect the confidentiality of individual values has recently drawn some attention. If the distribution generating the noise variables has low to moderate variance, then noisemultiplied data have been shown to yield accurate inferences ...
Martin Klein, Bimal Sinha
openaire +1 more source
Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Using linear predictors to impute allele frequencies from summary or pooled genotype data
, 2010 Recently-developed genotype imputation methods are a powerful tool for detecting untyped genetic variants that affect disease susceptibility in genetic association studies.
Stephens, Matthew, Wen, Xiaoquan
core +1 more source