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
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
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
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
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
Bayesian correction for covariate measurement error: a frequentist evaluation and comparison with regression calibration [PDF]
, 2016 Bayesian approaches for handling covariate measurement error are well established, and yet arguably are still relatively little used by researchers. For some this is likely due to unfamiliarity or disagreement with the Bayesian inferential paradigm.
Bartlett, Jonathan W., Keogh, Ruth H.
core +2 more sources
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
xQTLImp: efficient and accurate xQTL summary statistics imputation [PDF]
, 2019 AbstractMotivationQuantitative trait locus (QTL) analysis of multiomic molecular traits, such as gene transcription (eQTL), DNA methylation (mQTL) and histone modification (haQTL), has been widely used to infer the effects of genomic variation on multiple levels of molecular activities.
Wang, Tao +5 more
openaire +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
Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review [PDF]
, 2018 Background: Rigorous, informative meta-analyses rely on availability of appropriate summary statistics or individual participant data. For continuous outcomes, especially those with naturally skewed distributions, summary information on the mean or ...
A Patil +32 more
core +3 more sources