ScholarWorks@Sookmyung Women's University: Kim, Yang Jin

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Kim, Yang Jin (김양진)

이과대학 (통계학과)

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interval censored data:7||recurrent event data:6||EM algorithm:5||cumulative incidence function:4||frailty effect:4||Bivariate interval censored data:3||EM 알고리즘:3||Competing risk:3||cure rate model:3||interval censoring:3||random effect:3||joint model:3||Kendall&apos:3||multiple imputation:3||YTOP:3||구간 중도 절단 자료:2||Bivariate current status data:2||informative cluster size:2||s tau:2||s τ:2||zero inflation:2||Association:2||경쟁위험:2||Tumorigenicity:2||Gray test:2||observation gaps:2||프레일티:2||competing risk:2||Collaborative study:2||AIDS:2||observation gap:2||Frailty effect:2||GEE:2||랜덤 효과:2||Joint model:1||Kleague:1||Lethal titer:1||Leverage bootstrap:1||Liver cirrhosis data:1||Marked point processes:1||Median regression:1||Meeting report:1||Missing information principle:1||Multiple imputation:1||Multistate model:1||National control laboratory:1||National reference standard:1||Observation gap:1||Primary 60G55:1||Pseudolikelihood:1||Random effects:1||Regional working reference standards:1||Robustness:1||Secondary 60G46:1||Termination event times:1||Threestate model:1||WCR:1||Weighted cumulative mean function:1||Western pacific region:1||YTOP data:1||Young Traffic Offenders Program.:1||antidepressant:1||area under curve (AUC):1||binary timevarying covariate:1||bivariate frailty effect:1||bivariate interval censored data:1||bivariate recurrent event:1||case fatality rate:1||changing time:1||clustered failure time data:1||competing risks:1||conditional Kendall&apos:1||counting process.:1||cure model:1||cure rate:1||diagonal inflation model:1||doubly interval censored data:1||economic activity state:1||estimating equation:1||failure time data:1||frailty effects:1||frailty model:1||gap time scale:1||imputation method:1||incomplete observation:1||incubation time:1||induced dependent censoring:1||industrial injuries:1||informative censoring:1||informative observation process:1||interval censored:1||intervalcensored data:1||inverse probability censoring weighting (IPCW):1||inverse probability weighting:1||jackknife variance:1||log rank test:1||longitudinal data:1||missing covariate:1||missingcause of failure:1||multistate model:1||multiple imputations:1||nonparametric maximum likelihood:1||pandemic:1||piecewise baseline:1||piecewise constant baseline:1||piecewise constant.:1||piecewiseconstant model:1||prediction:1||product limit estimator.:1||pseudovalue approach:1||quasiindependence:1||recidivism:1||recurrent event:1||recurrent event data.:1||resampling method:1||smoking cessation data:1||survival analysis:1||terminal event:1||test statistics:1||timedependent receiver operating curve (ROC):1||timevarying covariate:1||timevarying frailty:1||transition probability:1||tumorigenicity.:1||unorderable pairs:1||결합모형:1||경시적 자료:1||경쟁 위험 모형:1||경쟁위험분석:1||경제 활동 유형:1||관측 시점과의 연관성:1||관측 중단:1||구간 중도 절단:1||구간중도절단:1||군집 구간 중도 절단 자료:1||누적 발생 함수:1||다중 대체 방법:1||대유행병:1||불연속 관측:1||불완전한 관측:1||산재보험:1||생존 분석:1||시간 가변 ROC:1||역확률 중도 절단 가중:1||연관성:1||예측:1||이변량 구간 중도 절단:1||이변량 프레일티 효과:1||잠복기간:1||재발사건자료:1||재범률:1||정보적 군집 크기:1||지렛대 붓스트랩:1||치료율 모형:1||치사율:1||치유율:1||금연 자료:1||AIDS study:1||AIDS 연구:1||AUC:1||Antivenom:1||Bipolar disorder:1||Bivariate poisson data:1||Bivariate recurrent event:1||Bivariate recurrent event data:1||Bootstrap:1||COVID19:1||Censoring complete data:1||Clustered interval censored data:1||Competing risk model:1||Competing risks:1||Copula:1||Cross ratio function:1||Cumulative mean function:1||Cure rate model:1||Current status data:1||Doubly interval censored data:1||Drop out:1||ES algorithm:1||Gap times:1||GaussHermite 알고리즘:1||Gloydius snake venom:1||Hemorrhagictiter:1||IPCW:1||Illnessdeath model:1||Informative cluster size:1||Interval censored data:1||Interval censoring:1||Intervalcensored data:1||Inverse probability censoring weight:1||

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Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea 02-710-9127

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