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Bayesian Random Forest with Multiple Imputation by Chain Equations for High-Dimensional Missing Data: A Simulation Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119013563openalex-snapshot
Statistical Analysis with Missing Data
inferredcites →https://doi.org/10.1002/cjs.11248openalex-snapshot
Prediction with missing data via Bayesian Additive Regression Trees
inferredcites →https://doi.org/10.1002/sam.11348openalex-snapshot
Random forest missing data algorithms
inferredcites →https://doi.org/10.1007/s11222-012-9349-1openalex-snapshot
A new variable importance measure for random forests with missing data
inferredcites →https://doi.org/10.1007/s11222-024-10444-2openalex-snapshot
Model-based clustering with missing not at random data
inferredcites →https://doi.org/10.1016/j.csda.2013.10.025openalex-snapshot
Recursive partitioning for missing data imputation in the presence of interaction effects
inferredcites →https://doi.org/10.1016/j.imu.2023.101382openalex-snapshot
A comparison of imputation methods for categorical data
inferredcites →https://doi.org/10.1016/j.jkss.2018.03.002openalex-snapshot
Bayesian methods for dealing with missing data problems
inferredcites →https://doi.org/10.1016/j.kjs.2023.06.008openalex-snapshot
Bayesian weighted random forest for classification of high-dimensional genomics data
inferredcites →https://doi.org/10.1016/j.patcog.2008.05.019openalex-snapshot
Impact of imputation of missing values on classification error for discrete data
inferredcites →https://doi.org/10.1037//1082-989x.7.2.147openalex-snapshot
Missing data: Our view of the state of the art.
inferredcites →https://doi.org/10.1080/00949655.2022.2163646openalex-snapshot
Regression with missing data, a comparison study of techniques based on random forests
inferredcites →https://doi.org/10.1080/01621459.1988.10478722openalex-snapshot
A Test of Missing Completely at Random for Multivariate Data with Missing Values
inferredcites →https://doi.org/10.1080/01621459.1996.10476908openalex-snapshot
Multiple Imputation After 18+ Years
inferredcites →https://doi.org/10.1080/10629360600810434openalex-snapshot
Fully conditional specification in multivariate imputation
inferredcites →https://doi.org/10.1093/aje/kwq260openalex-snapshot
Multiple Imputation for Missing Data via Sequential Regression Trees
inferredcites →https://doi.org/10.1093/aje/kwt312openalex-snapshot
Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study
inferredcites →https://doi.org/10.1093/bib/bbp059openalex-snapshot
Dealing with missing values in large-scale studies: microarray data imputation and beyond
inferredcites →https://doi.org/10.1093/bioinformatics/btr597openalex-snapshot
MissForest—non-parametric missing value imputation for mixed-type data
inferredcites →https://doi.org/10.1108/978-1-60752-578-320251005openalex-snapshot
Advances in Missing Data Methods and Implications for Educational Research
inferredcites →https://doi.org/10.1136/bmj.d40openalex-snapshot
Strategy for intention to treat analysis in randomised trials with missing outcome data
inferredcites →https://doi.org/10.1146/annurev-clinpsy-080822-051727openalex-snapshot
Missing Data Analysis
inferredcites →https://doi.org/10.1177/0962280206074463openalex-snapshot
Multiple imputation of discrete and continuous data by fully conditional specification
inferredcites →https://doi.org/10.1177/0962280214521348openalex-snapshot
Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model
inferredcites →https://doi.org/10.1186/2193-1801-2-222openalex-snapshot
Principled missing data methods for researchers
inferredcites →https://doi.org/10.1186/s12859-014-0346-6openalex-snapshot
Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
inferredcites →https://doi.org/10.1201/9780429492259openalex-snapshot
Flexible Imputation of Missing Data, Second Edition
inferredcites →https://doi.org/10.1214/09-aoas285openalex-snapshot
BART: Bayesian additive regression trees
inferredcites →https://doi.org/10.1214/12-aos1018openalex-snapshot
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
inferredcites →https://doi.org/10.1214/18-sts644openalex-snapshot
Multiple Imputation: A Review of Practical and Theoretical Findings
inferredcites →https://doi.org/10.18637/jss.v023.i10openalex-snapshot
yaImpute : An R Package for k NN Imputation
inferredcites →https://doi.org/10.3102/00346543074004525openalex-snapshot
Missing Data in Educational Research: A Review of Reporting Practices and Suggestions for Improvement
inferredcites →https://doi.org/10.3390/math11244957openalex-snapshot
On the Oracle Properties of Bayesian Random Forest for Sparse High-Dimensional Gaussian Regression
inferredcites →https://doi.org/10.3390/math12101425openalex-snapshot
Eigenvalue Distributions in Random Confusion Matrices: Applications to Machine Learning Evaluation
inferredcites →https://doi.org/10.4236/jcc.2024.1211004openalex-snapshot
Missing Data Imputation: A Comprehensive Review
inferredcites →https://doi.org/10.5282/ubm/epub.14344openalex-snapshot
Variable selection with Random Forests for missing data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/wics.70044openalex-snapshot
Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets
inferred← citeshttps://doi.org/10.1007/s00704-026-06303-xopenalex-snapshot
Optimizing multiple imputation methods for causal analysis of long-term tropical climate data
inferred← citeshttps://doi.org/10.1016/j.energ.2026.100069openalex-snapshot
Household energy behaviour under electricity supply unreliability in Zambia: Evidence from a Bayesian logistic model
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2026.143535openalex-snapshot
Integrated population-level and molecular evidence links nineteen aromatic amine antioxidants and six p-phenylenediamine quinones to thyroid homeostasis in older adults
inferred← citeshttps://doi.org/10.1021/acsestwater.5c01342openalex-snapshot
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inferred← citeshttps://doi.org/10.1039/9781837070206-00462openalex-snapshot
Machine Learning in Drug-induced Adverse Reaction Modeling: Case Studies of Drug-induced Cardiotoxicity Modeling
inferred← citeshttps://doi.org/10.1088/1748-9326/ae3190openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/wocc63563.2025.11082247openalex-snapshot
Stock Price Prediction via Feature Optimization and SVM-Random Forest Multi-Model Fusion
inferred← citeshttps://doi.org/10.3390/tropicalmed11030073openalex-snapshot
District-Level Dengue Early Warning Prediction System in Bangladesh Using Hybrid Explainable AI and Bayesian Deep Learning
inferred← citeshttps://doi.org/10.4018/979-8-2600-2701-1.ch001openalex-snapshot
Groundwater Salinity Prediction in the African Continent Using Machine Learning Techniques and Methods
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