Sookmyung Statistics
Professor
Kim, Yang-Jin

RESEARCH & PUBLICATIONS
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Manuscripts under preparation(Submitted)


dot_blue.gifEstimation of time-dependent ROC curve for interval censore failure time data
dot_blue.gifPredictive accuracy of prediction model for interval censored failure time data 
dot_blue.gif Predictive accuracy of prediction model for cure rate model and recurrent event data
dot_blue.gifSurvival tree for interval censored failure time data

 

 

Research Interests
dot_blue.gif Survival analysis:Interval Censored Data/Panel Count Data/Current Status Data
dot_blue.gif Longitudinal Data (Informative Censoring, Informative Observation time)
dot_blue.gif Panel data analysis
dot_blue.gif Missing data Problem


Publications
  •   Sun. J, Kim. Y, Hewett, J., Johnson, J. C., Farmer, J. and Gibler, M. (2001),Evaluation of Traffic Injury Prevention Programs Using Counting Process Approaches. Journal of the American Statistical Association,96,469-475.
  •  Coudron,T.A., J.L. Wittmeyer and Kim.Y. (2002),Life history and cost analysis for continuous rearing of Podisus maculiventris (Say) (Heteroptera: Pentatmidae) on a zoophytophagous artificial diet. Journal of Economic Entomology, 95,1159-1168 
  •  Coudron,T.A., and Kim.Y. (2002),Life history and cost analysis for continuous rearing of Periilus bioculatus (F.) (Heteroptera: Pentatomidae) on a Zoophytogenous Artificial Diet*. Journal of Economic Entomology. 97, 807-812 
  •  Sun.J, Kim.Y, and Schmitt, Christoper J. (2003),Longitudinal Analysis of Bioaccu-mulative contaminants in Freshwater Fishes. Environmental and Ecological Statistics, 10,419-428
  •   Sun.L, Kim.Y,and Sun.J (2004), Regression Analysis of Doubly Censored Failure Time Data from Additive Hazard Model. Biometrics, 60, 637-643. 
  •   Kim.Y. (2006), Regression Analysis of Doubly Censored Data with Frailty, Biometrics, 62, 458-464.
  •   Kim.Y(2006), Analysis of Panel Count data with Dependent observation time, Communications in Statistics-Simulation and Computation, 35, 983-990.
  •   Kim.Y. (2007), Analysis of Panel Count Data with measurement errors in the covariates, Journal of Statistical Computations and Simulations, 77, 109-117.
  •   Kim.Y, and Jhun.M (2008), Cure rate model with interval censored data Statistics in Medicine, 27, 3-14.
  •   Kim, Y, and Jhun.M (2008), The analysis of recurrent event data with incomplete observation gaps. Statistics in Medicine. 
  •   Cho, H. Kim, Y., Jung, H. Lee, S. and Lee, J (2007), OutlierD: An R package for outler detection using quantile regression on mass spectrometry data. Bioinformatics. 
  •   Kim, J. Kim, Y., and Nam, J. (2009). A Generalized Log-Rank-Type Test for Comparing Survivals with Doubly Interval-Censored Data. Computational statistics and data analysis, 686-696.
  •   Kim, Y-J. (2010), Regression analysis of clustered interval censored data with informative cluster size Statistics in Medicine. 29,2956-2962
  •   Kim, Y-J. (2010), Median regression with interval censored data. Biometrical Journal. 52, 201-208.
  •   Kim, Y-J.,Kim, Y-N., Nam, J. and Kim, J. (2011).The analysis of tumorigenicity data using a frailty effect. Journal of Korean Statistical Society. 40, 281-290
  •   Yoo, H., Lee, J., andKim, Y-J. (2011).Joint Model of Clustered Failure Time data with informative cluster size.Communications in statistics-Computation and Simulation. 40,808-817
  •  Kim, Y-J., Nam, J., Kim, J. (2012), Nonparametric two-sample test of longitudinal data in the presence of terminal event. Communications in Statistics-Theory and methods. 42,1056-1069
  •  Kim, Y-J. (2014), Regression analysis of bivariate current status data using multistate model. Communications in Statistics-Simulation and Computation43, 462-475
  • Kim, Y-J. (2014), Regression analysis of recurrent event data with incomplete observation gaps,Journal of Applied Statistics.41, 1616-1626.
  • 신슬비, 김양진(2014). 불완전한 관측틈을 가진 재발 사건 소요시간에 대한 자료 분석. Journal of the Korean Data and Information Science Society, 25, 327-336
  • Do, G., KIM, Y., Kim, S.(2015) 경쟁위험분석을 이용한 산재 근로자의 원직장복귀에 대한 연구,Journal of the Korean Data and Information Science Society, 26, 1271-1281
  • 김양진 (2016) 경시적 자료에서관측 중단을 모형화하기 위해 사용되는 경쟁 위험의 적용과 결합 모형, Korean Journal of applied statistics. 29, 113-122
  • Kim, Y-J. (2016) A modified estimating equation for a binary time varying covariate with an interval censored changing time. Communication Statistics in Application and methods.23(6) 335-341.
  • Kim, S. and Kin, Y-J. (2016) Regression analysis of interval censored competing risk data using a pseudo value approach. Communication Statistics in Application and methods. 23, 555-562
  • Do,G. and Kim, Y-J.(2017)Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach, Journal of Statistical Computations and Simulations, 87, 631-639.
  • Kim, Y. and Kim, Y-.J.(2017) 다중대체방법을 이용한 구간 중도 경쟁 위험 모형에서의 이표본 검정, Korean journal of applied statistics, 30 233-241.
  • Kim, Y-J. (2017) Cure rate model with bivariate interval censored data,Communications in Statistics-Simulation and Computation,46. 7116-7124,
  • Kim, Y-J. (2017) Analysis of interval censored failure time data with competing risk, Journal of Applied Statistics, 44, 2778-2790
  • Kim, Y-J. (2019) A concordance test for bivariate interval censored data using a leverage bootstrap. Korean journal of applied statistics,32. 753-761.
  • Kim, T-U. and Kim, Y-J. (2020) Bivariate recurrent event data with zero inflations. Communication Statistics in Application and methods. 27(1), 1-9.
  • Kim Y-J, (2020) Joint model for recurrent event data with a cured fraction and a terminal event.Biometrical Journal.  62, 24-33.
  • Kim Y-J, (2020) Joint model for bivariate zero inflated recurrent event data with terminal events.Journal of applied statistics, 48, 738-749.
  • Lee, HE and Kim Y-J, (2021) Analysis of interval censored competing risk data via nonparametric multiple imputation. Statistics in Biopharmaceutical research. 13, 367-374.
  • Kang, SH and Kim Y-J, (2021)   Association measure of doubly interval censored data using a Kendall’s tau estimator, Communication Statistics in Application and methods. 28(3), 151-159.
  • Kim, Y-J, Lee,N-R. (2021). Time-dependent association for bivariate interval censored data, Journal of Japanes Statistics and Data sciences.
  • Kim , Y-J (2021). Review for time-dependent ROC analysis under diverse survival models. Korean journal of applied statistics

 

 

 

 

 
 
 
  Book (Chapters)

  dot_blue.gifKim, Y-J. Kim, J. Nam, J. and Kim, Y. (2012). Statistical analysis of dependent current status data with application to tumorigenicity experiments. Interval-CensoredTime-to-Event Data: Methods and Applications, Chapman & Hall

  dot_blue.gif김양진 (2013). 생존분석 (자유아카데미)

  dot_blue.gif김양진 (2020).  R 과 SAS 를 이용한 경시적 자료분석(자유아카데미)

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