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Variable selection with missing data in both covariates and outcomes:
  Imputation and machine learning

Variable selection with missing data in both covariates and outcomes: Imputation and machine learning

6 April 2021
Liangyuan Hu
Jung-Yi Joyce Lin
Jiayi Ji
    CML
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Papers citing "Variable selection with missing data in both covariates and outcomes: Imputation and machine learning"

3 / 3 papers shown
Title
CIMTx: An R package for causal inference with multiple treatments using
  observational data
CIMTx: An R package for causal inference with multiple treatments using observational data
Liangyuan Hu
Jiayi Ji
CML
9
2
0
19 Oct 2021
Random Forest Missing Data Algorithms
Random Forest Missing Data Algorithms
Fei Tang
H. Ishwaran
48
515
0
19 Jan 2017
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
157
4,191
0
04 May 2011
1