MyungheeCho Paik

MyungheeCho Paik

Seoul National University

Professor

Department of Statistics

Research Area

  • #Mathematics
  • #Statistics
  • #Estimator
  • #Econometrics
  • #Missing data
  • #Estimating equations
  • #Convolutional neural network
  • #Computer science
  • #Stroke
  • #Proportional hazards model

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Related papers to
‘ Mathematics ‘ : 7

  • Calibrated propensity score method for survey nonresponse in cluster sampling

    2016/06

    1.4 Impact Factor

    12 citations

    Jae Kwang Kim, Yongchan Kwon, Myunghee Cho Paik

    DOI : 10.1093/BIOMET/ASW004

    • #Mathematics
    • #Statistics
    • #Econometrics
    • #Estimator
    • #Parametric statistics
    • #Weighting
    • #Missing data
    • #Linearization
    • #Cluster sampling
    • #Survey sampling
    • #Consistent estimator

All papers authored by
‘ MyungheeCho Paik ’ : 10

  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.

    2018/09
    FRONTIERS IN NEUROLOGY

    2.6 Impact Factor

    79 citations

    Stefan Winzeck, Arsany Hakim, Richard McKinley, José A. A. D. S. R. Pinto, Victor Alves, Carlos A. Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, Arlindo Oliveira, Youngwon Choi, Myunghee Cho Paik, Yongchan Kwon, Han-Byul Lee, Beom Joon Kim, Joong-Ho Won, Mobarakol Islam, Hongliang Ren, David Robben, Paul Suetens, Enhao Gong, Yilin Niu, Junshen Xu, John M. Pauly, Christian Lucas, Mattias P. Heinrich, Luis C. Rivera, Laura S. Castillo, Laura A. Daza, Andrew L. Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy-Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes

    DOI : 10.3389/FNEUR.2018.00679

    • #Artificial intelligence
    • #Machine learning
    • #Stroke
    • #Ranking
    • #Convolutional neural network
    • #Benchmarking
    • #Multispectral image
    • #Comparability
    • #Predictive modelling
    • #Deep learning

Related papers to
‘ Mathematics ‘ : 7

  • Calibrated propensity score method for survey nonresponse in cluster sampling

    2016/06
    BIOMETRIKA

    1.4 Impact Factor

    12 citations

    Jae Kwang Kim, Yongchan Kwon, Myunghee Cho Paik

    DOI : 10.1093/BIOMET/ASW004

    • #Mathematics
    • #Statistics
    • #Econometrics
    • #Estimator
    • #Parametric statistics
    • #Weighting
    • #Missing data
    • #Linearization
    • #Cluster sampling
    • #Survey sampling
    • #Consistent estimator
  • Using link-preserving imputation for logistic partially linear models with missing covariates

    2016/09
    COMPUTATIONAL STATISTICS & DATA ANALYSIS

    1.7 Impact Factor

    4 citations

    Qixuan Chen, Myunghee Cho Paik, Minjin Kim, Cuiling Wang

    DOI : 10.1016/J.CSDA.2016.03.004

    • #Mathematics
    • #Statistics
    • #Econometrics
    • #Estimator
    • #Linear model
    • #Missing data
    • #Conditional expectation
    • #Imputation (statistics)
    • #Estimating equations
    • #Semiparametric regression
    • #Inverse probability weighting

Get access to
Contact information

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All papers authored by
‘ MyungheeCho Paik ’ : 10

  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.

    2018/09
    FRONTIERS IN NEUROLOGY

    2.6 Impact Factor

    79 citations

    Stefan Winzeck, Arsany Hakim, Richard McKinley, José A. A. D. S. R. Pinto, Victor Alves, Carlos A. Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, Arlindo Oliveira, Youngwon Choi, Myunghee Cho Paik, Yongchan Kwon, Han-Byul Lee, Beom Joon Kim, Joong-Ho Won, Mobarakol Islam, Hongliang Ren, David Robben, Paul Suetens, Enhao Gong, Yilin Niu, Junshen Xu, John M. Pauly, Christian Lucas, Mattias P. Heinrich, Luis C. Rivera, Laura S. Castillo, Laura A. Daza, Andrew L. Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy-Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes

    DOI : 10.3389/FNEUR.2018.00679

    • #Artificial intelligence
    • #Machine learning
    • #Stroke
    • #Ranking
    • #Convolutional neural network
    • #Benchmarking
    • #Multispectral image
    • #Comparability
    • #Predictive modelling
    • #Deep learning
  • Calibrated propensity score method for survey nonresponse in cluster sampling

    2016/06
    BIOMETRIKA

    1.4 Impact Factor

    12 citations

    Jae Kwang Kim, Yongchan Kwon, Myunghee Cho Paik

    DOI : 10.1093/BIOMET/ASW004

    • #Mathematics
    • #Statistics
    • #Econometrics
    • #Estimator
    • #Parametric statistics
    • #Weighting
    • #Missing data
    • #Linearization
    • #Cluster sampling
    • #Survey sampling
    • #Consistent estimator

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