ScholarWorks@Korea University: Choi, Sang bum

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Choi, Sang bum (최상범)

College of Political Science & Economics (Department of Statistics)

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Tel 02-3290-2248
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Survival analysis:8||survival analysis:6||nonparametric likelihood:3||Accelerated failure time model:3||inverse probability weighting:3||kernel smoothing:3||propensity score:2||Cumulative incidence:2||rank regression:2||Competing risks:2||clustered data:2||relative efficiency:2||variable selection:2||Mortality:2||Linear model:2||Variable selection:2||Coordinate descent:2||informative censoring:2||BuckleyJames method:2||cumulative incidence function:2||Selfconsistency:2||epidemiology:1||public health:1||statistics & research methods:1||precision medicine:1||SL:1||최대허용용량:1||Public health study:1||censored data:1||travel:1||Broken adaptive ridge regression:1||BuckleyJames estimator:1||survival analysis.:1||double robustness:1||accelerated lifetime:1||Left censoring:1||doublerobust estimation:1||weighted estimating equations:1||pregnancyinduced hypertension:1||Asian:1||Race:1||Cluster effect:1||maternal medicine:1||Inverse probability of treatment weighting:1||censored quantile regression:1||induced smoothing:1||competing risks:1||super learner:1||Q학습:1||Bayesian:1||intervalcensoring:1||selfconsistency:1||subdistribution hazard:1||average causal effect:1||random forest:1||생활인구:1||cohort sampling:1||inverse probability weight:1||obstetrics:1||Transfusion ratio:1||정밀의학:1||proportional odds:1||regularization:1||Sufficient dimension reduction:1||predictive variable:1||causal treatment effect:1||sales analysis:1||foot traffic:1||COVID19:1||retinal vein occlusion:1||intervalcensored data:1||Intervalcensoring:1||Double censoring:1||Recurrent events:1||Regression analysis:1||Causespecific hazard:1||Linear regression:1||KaplanMeier:1||frailty model:1||Hemorrhage:1||Qlearning:1||변수 선택:1||제1상 임상시험:1||phase I clinical trial:1||proportional hazards:1||Interval censoring:1||linear model:1||Kernel smoothing:1||Martingale:1||부분집단 분석:1||subgroup analysis:1||Cohort studies:1||Ischemic heart disease:1||Particulate matter:1||diabetic retinopathy:1||hypertensive retinopathy:1||retinal artery occlusion:1||transmission:1||Machine learning:1||Redistribution of mass:1||Cohort study:1||Marginal model:1||Accelerated life testing:1||cure fraction:1||mixture model:1||subdistribution:1||Multivariate recurrent events:1||성향점수:1||베이지안:1||Risk prediction:1||중도절단:1||군집분석:1||public health emergency:1||Sleep:1||variance estimation:1||weighted estimating equation:1||Accelerated intensity regression:1||Joint modeling:1||Trauma:1||이중강건성:1||연속재평가방법:1||Case1 censoring:1||empirical process:1||logistic loss:1||doublyrobust estimation:1||매출분석:1||central serous chorioretinopathy:1||spread:1||Censored quantile regression:1||Death:1||Inverse probability weighting:1||continual reassessment method:1||maximum tolerated dose:1||Nonparametric likelihood:1||targeted learning:1||정밀 의료:1||예측 변수:1||Precision medicine:1||pseudo observations:1||clustering analysis.:1||코로나19(COVID19):1||resampling:1||Monkeypox:1||MSM:1||sexually transmitted diseases:1||accelerated failure time model:1||generalized estimating equation:1||

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