• Journal of the Korean Data and Information Science Society
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• v.9 no.1
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• pp.37-45
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• 1998

We consider the problem of obtaining the confidence bands for the survival function with incomplete data. It is a rather simple procedure for constructing confidence bands of survival function. This method uses the weak convergence of normalized cumulative hazard estimator to a mean zero Gaussian process whose distribution can be easily approximated through simulation. Finally, we compare the performance of the proposed confidence bands through Monte Carlo simulation and we applied to construct the proposed bands with the Leukemia patient data.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.26-26
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• 2017

이 연구의 목적은 실제 창업하여 5년 이상 생존한 편의점이 최적의 입지유형에 위치한 것이 크다는 영향을 증명하는데 있다. 이 목적을 달성하기 위하여 서울 주요 지역의 5년 이상 생존 점포 사례를 본인과 지인의 사례 점포, A 메이저 프랜차이즈 편의점 직원이 제공한 자료를 토대로 연구 결과를 분석하고 실제 창업 생존률을 높이는데 도움을 주고자 한다. 실증분석결과, 첫째로 입지요인은 편의점 성과에 영향을 미치는 것으로 나타났다. 둘째, 최적의 입지유형에 위치한 점포는 5년 이상 생존하는데 영향을 주는 것으로 나타났다. 최적의 입지유형에 위치한 편의점 창업은 5년 이상 생존하는데 상당한 영향을 미치므로 입지유형에 대한 인식과 실전 적용은 필요한 것으로 나타났다. 전체 창업시장으로 보면 편의점과 같이 상품의 동질성이 높은 업종이나 위치에 중점을 둔 창업인 경우 까지 확대하여 창업가의 실패를 줄이고 장기적 생존률을 높일 수 있는 연구가 확대 되어야 할 것이다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1095-1106
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• 2014

Symbolic data analysis extends the data mining and exploratory data analysis to the knowledge mining, we can suggest the SDA tree model on clinical and genomic data with new knowledge mining SDA approach. Using SDA application for huge genomic SNP data, we can get the correlation the availability of understanding of hidden structure of HCC data could be proved. We can confirm validity of application of SDA to the tree structured progression model and to quantify the clinical lab data and SNP data for early diagnosis of HCC. Our proposed model constructs the representative model for HCC survival time and causal association with their SNP gene data. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and genomic data under the new statistical theory of knowledge mining with SDA.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.1-11
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• 2012

When the microarray experiment developed, main interest was limited to detect differentially expressed genes associated with a phenotype of interest. However, as human diseases are thought to occur through the interactions of multiple genes within a same functional category, the unit of analysis of the microarray experiment expanded to the set of genes. For the phenotype of censored survival time, Gene Set Enrichment Analysis(GSEA), Global test and Wald type test are widely used. In this paper, we modified the Wald type test by adopting normal score transformation of gene expression values and developed a parametric test which requires much less computation than others. The proposed method is compared with other methods using a real data set of ovarian cancer and a simulation data set.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.309-324
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• 2015

In this paper we introduce how to analyze survival data via a SRC-Stat statistical package. This provides classical survival analysis (e.g. Cox's proportional hazards models for univariate survival data) as well as advanced survival analysis such as shared and nested frailty models for multivariate survival data. We illustrate the use of our package with practical data sets.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.395-406
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• 2006

Long-term survival rates are the most commonly used outcome measures for patients with cancer. However, traditional long-term survival statistics, which are derived by cohort analysis or complete analysis, essentially reflect the survival expectations of patients diagnosed many years ago. They are often outdated at the time they become available. In this article, we propose a modified product-limit method to obtain up-to-date estimates of long-term survival rates via a period analysis. The proposed method is illustrated with cancer registry data collected from January 1993 to December 1997.

• The Korean Journal of Applied Statistics
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• v.7 no.2
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• pp.53-77
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• 1994

In a certain stochastic process, Cox's regression model is used to analyze multistate survival data. From this model, the regression parameter vectors, survival functions, and the probability of being in response function are estimated based on multistate Cox's partial likelihood and nonparametric likelihood methods. The asymptotic properties of these estimators are described informally through the counting process approach. An example is given to likelihood the results in this paper.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.68-73
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• 2006

센서 노드의 송수신 상태를 분석하여 노드의 생존성 향상과 효율적인 프로토콜 설계를 하려고 한다. 센서 노드의 분석을 위한 실험 환경은 다음과 같다. 센서 노드의 생존성-가용 배터리, 센서 노드의 출력-검색 가능 영역, 센서 노드의 통신 경로-라우팅 테이블 생성, 센서 노드의 대역폭-송신 데이터의 크기이다. RFID 태그와 리더를 통한 관리 시스템과 재해방지를 위한 다양한 센서를 통한 정보 수집 시스템과 의사결정 시스템에 적용 될 수 있다. 그리고 다양한 센서 데이터로부터 수신된 데이터의 자료수집, 센서분류, 수신율 조절 시스템을 위한 프로토콜 설계 자료로 활용 가능하다.

• 대한예방의학회:학술대회논문집
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• 2002.10a
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• pp.445-446
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• 2002

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.331-343
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• 2014

We propose two estimating procedures to analyze clustered interval-censored data with an informative cluster size based on a marginal model and investigate their asymptotic properties. One is an extension of Cong et al. (2007) to interval-censored data and the other uses the within-cluster resampling method proposed by Hoffman et al. (2001). Simulation results imply that the proposed estimators have a better performance in terms of bias and coverage rate of true value than an estimator with no adjustment of informative cluster size when the cluster size is related with survival time. Finally, they are applied to lymphatic filariasis data adopted from Williamson et al. (2008).