Missing data imputation with high-dimensional data

Multiple imputation with compatibility for high-dimensional data

(2021) Faisal Maqbool Zahid et al.   PLoS One

SuperMICE: An Ensemble Machine Learning Approach to Multiple Imputation by Chained Equations

(2021) Hannah S Laqueur et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Comprehensive mapping of cytochrome c oxidase activity in the rat brain after sub-chronic ketamine administration

(2020) Denis Matrov et al.   ACTA HISTOCHEMICA

Multiple imputation with sequential penalized regression

(2018) Faisal M Zahid et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

An overview of large-dimensional covariance and precision matrix estimators with applications in chemometrics

(2017) Jasper Engel et al.   JOURNAL OF CHEMOMETRICS

Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework

(2016) Valentin Voillet et al.   BMC BIOINFORMATICS

missMDA: A Package for Handling Missing Values in Multivariate Data Analysis

(2016) Julie Josse et al.   Journal of Statistical Software

Multiple imputation in the presence of high-dimensional data

(2016) Yize Zhao et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data

(2016) Yi Deng et al.   Scientific Reports

Multiple imputation for continuous variables using a Bayesian principal component analysis

(2015) Vincent Audigier et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Changes in urine headspace composition as an effect of strenuous walking

(2015) Devasena Samudrala et al.   Metabolomics

Using Principal Components as Auxiliary Variables in Missing Data Estimation

(2015) Waylon J. Howard et al.   MULTIVARIATE BEHAVIORAL RESEARCH

AmeliaII: A Program for Missing Data

(2015) James Honaker et al.   Journal of Statistical Software

mice: Multivariate Imputation by Chained Equations inR

(2015) Stef van Buuren et al.   Journal of Statistical Software

Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

(2014) Anoop D. Shah et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Missing value imputation in high-dimensional phenomic data: imputable or not, and how?

(2014) Serena G Liao et al.   BMC BIOINFORMATICS

Principal component analysis with missing values: a comparative survey of methods

(2014) Stéphane Dray et al.   PLANT ECOLOGY

Recursive partitioning for missing data imputation in the presence of interaction effects

(2013) L.L. Doove et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Regularised PCA to denoise and visualise data

(2013) Marie Verbanck et al.   STATISTICS AND COMPUTING

Selecting the number of components in principal component analysis using cross-validation approximations

(2011) Julie Josse et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Multiple imputation in principal component analysis

(2011) Julie Josse et al.   Advances in Data Analysis and Classification

Multiple Imputation for Missing Data via Sequential Regression Trees

(2010) L. F. Burgette et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY