Evaluating the impact of multivariate imputation by MICE in feature selection

Missing value imputation and data cleaning in untargeted food chemical safety assessment by LC-HRMS

(2019) Grégoire Delaporte et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems

(2019) Michail Cheliotis et al.   OCEAN ENGINEERING

Multivariable data imputation for the analysis of incomplete credit data

(2019) Qiujun Lan et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data

(2018) D. Alexandra Williams et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Multiple Imputation: A Review of Practical and Theoretical Findings

(2018) Jared S. Murray   STATISTICAL SCIENCE

Handling of Missing Outcome Data in Acute Stroke Trials: Advantages of Multiple Imputation Using Baseline and Postbaseline Variables

(2018) Dashiell F. Young-Saver et al.   Journal of Stroke & Cerebrovascular Diseases

Guidelines for conducting systematic mapping studies in software engineering: An update

(2015) Kai Petersen et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Mutual information criterion for feature selection from incomplete data

(2015) Wenbin Qian et al.   NEUROCOMPUTING

What Is Meant by “Missing at Random”?

(2013) Shaun Seaman et al.   STATISTICAL SCIENCE

Feature selection with missing data using mutual information estimators

(2012) Gauthier Doquire et al.   NEUROCOMPUTING

Multiple imputation by chained equations: what is it and how does it work?

(2011) Melissa J. Azur et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

A conservative feature subset selection algorithm with missing data

(2009) Alex Aussem et al.   NEUROCOMPUTING

Multiple imputation in a large-scale complex survey: a practical guide

(2009) Y. He et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Impact of imputation of missing values on classification error for discrete data

(2008) Alireza Farhangfar et al.   PATTERN RECOGNITION