참고문헌
- 남재우, 이회경, "생존분석 기법을 이용한 기업도산 예측 모형", 한국경영과학회 추계학술대회 논문집, (2000), pp.40-43.
- 박재빈, 생존분석 : 이론과 실제, 신광출판사, 2007.
- 하성호, 양정원, 민지홍, "코호넨네트워크와 생존분석을 활용한 신용 예측", 한국경영과학회지, 제34권, 제2호(2009), pp.35-54.
- Ascarza, E. and B.G. Hardie, "A Joint model of usage and churn in contractual setting," Marketing Science, Vol.32(2013), pp.570-590. https://doi.org/10.1287/mksc.2013.0786
- Bandyopadhyay, S., J. Wolfson, D. Vock, G. Vazquez-Benitez, G. Adomavicius, M. Elidrisi, P. Johnson, and P. O'Connor, "Data mining for censored time-to-event data : A Bayesian network model for predicting cardiovascular risk from electronic health record data," working paper, arXiv : 1404.2189 (2014).
- Campbell, G. and A. Foldes, "Large sample properties of nonparametric bivariate estimators with censored data," Proceedings, International Colloquium on Nonparametric Statistical Inference, (1982), pp.23-28.
- Dabrowska, D., "Kaplan-Meier estimate on the plane," Annals of Statistics, Vol.16(1988), pp.1475-1489. https://doi.org/10.1214/aos/1176351049
- DuWors, Jr., R.E. and G.H. Haines, Jr, "Event history analysis measures of brand loyalty," Journal of Marketing Research, Vol.27(1990), pp.485-493. https://doi.org/10.2307/3172633
- Efron, B., "The two-sample problem with censored data," Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol.4(1967), pp.831-853.
- Granger, C.W.J., "Investigating causal relations by econometric models and crossspectral methods," Econometrica, Vol.37(1969), pp.424-438. https://doi.org/10.2307/1912791
- Helsen, K. and D.C. Schmittlein, "Analyzing duration times in marketing : evidence for the effectiveness of hazard rate models," Marketing Science, Vol.11, No.4(1993), pp. 395-414.
- Hidalgo, C.A., N. Blumm, and A-L. Barabasi, and N.A. Christakis, "A Dynamic network approach for the study of human phenotypes," PLoS Computational Biology, Vol.5, No.4(2009), e1000353. https://doi.org/10.1371/journal.pcbi.1000353
- Kaplan, E.L. and P. Meier, "Nonparametric estimation from incomplete observations," Journal of American Statistical Association, Vol.53(1958), pp.457-481. https://doi.org/10.1080/01621459.1958.10501452
- Lariviere, B. and D. Van den Poel, "Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling : the case of financial services," Expert Systems with Applications, Vol.27(2004), pp.277-285. https://doi.org/10.1016/j.eswa.2004.02.002
- Lavine, M., "Some aspects of Polya tree distributions for statistical modeling," Annals of Statistics, Vol.20(1992), pp.1222-1235. https://doi.org/10.1214/aos/1176348767
- Lavine, M., "More aspects of Polya tree distributions for statistical modeling," Annals of Statistics, Vol.22(1994), pp.1161-1176. https://doi.org/10.1214/aos/1176325623
- Li, S., "Survival Analysis," Marketing Research, Vol.7, No.4(1995), pp.17-23.
- Milovic, B. and M. Milovic, "Prediction and decision making in health care using data mining," International Journal of Public Health Science, Vol.1, No.2(2012), pp.69-78.
- Mukherjee, A. and J. McGinnis, "E-healthcare : an analysis of key themes in research," International Journal of Pharmaceutical and Healthcare Marketing, Vol.1, No.4(2007), pp. 349-363. https://doi.org/10.1108/17506120710840170
- Muliere, P. and S. Walker, "A Bayesian nonparametric approach to survival analysis using polya trees," Scandinavian Journal of Statistics, Vol.24(1997), pp.331-340. https://doi.org/10.1111/1467-9469.00067
- Neath, A.A., "Polya tree distributions for statistical modeling of censored data," Journal of Applied Mathematics and Decision Sciences, Vol.7, No.3(2003), pp.175-186. https://doi.org/10.1155/S1173912603000166
- Oakes, D., "Biometrika Centenary : Survival analysis," Biometrika, Vol.88, No.1(2001), pp. 99-142. https://doi.org/10.1093/biomet/88.1.99
- Prentice, R. and Cai, J., "Covariance and survival function estimation using censored multivariate failure time data," Biometrika, Vol. 79(1992), pp.495-512. https://doi.org/10.1093/biomet/79.3.495
- Rigobon, R. and T. Stoker, "Estimation with censored regressors : basic issues," Interna tional Economic Review, Vol.48, No.4(2007), pp.1441-1467. https://doi.org/10.1111/j.1468-2354.2007.00470.x
- Schemper, M., A. Kaider, S. Wakounig, and G. Heinze, "Estimating the correlation of bivariate failure times under censoring," Statistics in Medicine, Vol.32, No.27(2012), pp. 4781-4790.
- Seok, J., L. Tian, and W.H. Wong, "Density estimation on multivariate censored data with optional Pólya tree", Biostatistics, Vol.15, No.1(2014), pp.182-95. https://doi.org/10.1093/biostatistics/kxt025
- Stajduhar, I. and B. Dalbelo-Basic, "Learning Bayesian networks from survival data using weighting censored instances," Journal of Biomedical Informatics, Vol.43, No.4(2010), pp.613-622. https://doi.org/10.1016/j.jbi.2010.03.005
- Turnbull, B., "The empirical distribution function with arbitrary grouped censored and truncated data," Journal of the Royal Statistical Society Series B, Vol.38(1976), pp.290-295.
- Wong, W.H. and L. Ma, "Optional Polya Tree and Bayesian Inference," Annals of Statistics, Vol.38(2010), pp.1433-1459. https://doi.org/10.1214/09-AOS755
- Zhou, X., J. Menche, A. Barabasi, and A. Sharma, "Human symptoms-disease network," Nature Communications, Vol.5, No. 4212(2014).