Myunghee Cho Paik
机构: Professor of Statistics, Seoul National University
每年引用次数
引用次数
引用: 59,835
H-指数: 75
I10-指数 : 145
出版物: 264
Incidence and Risk Factors of Intracranial Atherosclerotic Stroke: The Northern Manhattan Stroke Study
Fred Rincon , Ralph L Sacco , Grace Kranwinkel , Qiu Xu
Cerebrovascular Diseases 28 ( 1) 65 -71
98
2009
Dementia after stroke is a predictor of long-term survival.
MPirro , D WDesmond , EBagiella , MPaik
Stroke
1994
Lipid and lipoprotein levels remain stable in acute ischemic stroke: The Northern Manhattan Stroke Study
D.E Kargman , C Tuck , L Berglund , I.-F Lin
Atherosclerosis 139 ( 2) 391 -399
69
1998
Cerebral Hypoxia and Ischemia in the Pathogenesis of Dementia After Stroke
J. T. MORONEY , E. BAGIELLA , D. W. DESMOND , M. C. PAIK
Annals of the New York Academy of Sciences 826 ( 1) 433 -436
17
1997
Misclassification of dementia subtype using the Hachinski Ischemic Score: results of a meta-analysis of patients with pathologically verified dementias.
J. T. MORONEY , E. BAGIELLA , V. C. HACHINSKI , P. K. MÖLSÁ
Annals of the New York Academy of Sciences 826 ( 1) 490 -492
15
1997
RISK OF DEMENTIA AFTER STROKE
TK TATEMICHI , DW DESMOND , R MAYEUX , Y STERN
STROKE 23 ( 1) 160 -160
1992
CLINICAL CORRELATES OF DEMENTIA AFTER STROKE
TK TATEMICHI , DW DESMOND , M PAIK , R MAYEUX
ANNALS OF NEUROLOGY 30 ( 2) 243 -243
1991
THE EFFECT OF GESTATIONAL-AGE ON AFFECTED PREGNANCY OUTCOME-EXPERIENCE WITH 500 PRENATAL DIAGNOSES OF SICKLE-CELL DISEASES
S PIOMELLI , C SEAMAN , M PAIK , T CHEN
BLOOD 82 ( 10) A354 -A354
1993
COURSE AND PREDICTORS OF COGNITIVE RECOVERY IN THE FIRST 3 MONTHS AFTER STROKE
TI Gropen , TK Tatemichi , M Figueroa , DW Desmond
NEUROLOGY 44 ( 4) A328 -A328
1
1994
PREDICTING THE RISK OF DEMENTIA AFTER STROKE ONSET
TK TATEMICHI , M PAIK , E BAGIELLA , DW DESMOND
STROKE 25 ( 1) 271 -271
1994
Efficiencies of methods dealing with missing covariates in regression analysis
Myunghee Cho Paik , Cuiling Wang
Statistica Sinica 16 ( 4) 1169 -1192
10
2006
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
Myunghee Cho Paik , Gi-Soo Kim
arXiv: Machine Learning
2
2019
Doubly-Robust Lasso Bandit
Myunghee Cho Paik , Gi-Soo Kim
neural information processing systems 32 5877 -5887
8
2019
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Myunghee Cho Paik , Wonyoung Kim , Yongchan Kwon , Joong-Ho Won
international conference on machine learning 1 5567 -5576
2020
Lipschitz Continuous Autoencoders in Application to Anomaly Detection.
Myunghee Cho Paik , Young-geun Kim , Yongchan Kwon , Hyunwoong Chang
international conference on artificial intelligence and statistics 2507 -2517
1
2020
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric
Myunghee Cho Paik , Masashi Sugiyama , Wonyoung Kim , Yongchan Kwon
Machine Learning 109 ( 3) 513 -532
6
2020
Cluster-specific nonignorably missing, endogenous, and continuous regressors in multilevel model for binary outcome:
Gi-Soo Kim , Youngjo Lee , Hongsoo Kim , Myunghee Cho Paik
Statistical Methods in Medical Research 29 ( 7) 1818 -1830
2020
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.
Stefan Winzeck , Arsany Hakim , Richard McKinley , José AADSR Pinto
Frontiers in Neurology 9 679
131
2018
The Generalized Estimating Equation Approach When Data are Not Missing Completely at Random
Myunghee Cho Paik
Journal of the American Statistical Association 92 ( 440) 1320 -1329
110
1997
A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data
Huaihou Chen , Yuanjia Wang , Myunghee Cho Paik , H. Alex Choi
Journal of the American Statistical Association 108 ( 504) 1216 -1229
13
2013