Organization profile

Organisation profile

Statistics are the science of analyzing data. In the era of information outbreaks, statistics are based on mathematical theory, using computers to analyze various data, and extract the most important and useful messages in the data so that the most reasonable and scientific decisions can be made. Therefore, the mission statement of Department of Statistics is to cultivate qualified professionals with enthusiasm and global perspectives. The Department of Accounting and Statistics, founded in 1955, was divided into the Accounting Division and the Statistics Division in 1958. In August 1974, the two divisions became independent departments: the Department of Accountancy and the Department of Statistics. In the same year, the evening program of the Department was established. It started the master program in August 1991. In 1998, the Department began to offer the Ph.D. degree. In addition, to coincide with the era of big data, the Department of Statistics applied for the establishment of "Institute of Data Science". The Institute of Data Science will be established in 2018 to offer a master degree and actively cultivate students with data analysis talent.

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Neoplasms Medicine & Life Sciences
Non-Small Cell Lung Carcinoma Medicine & Life Sciences
Breast Neoplasms Medicine & Life Sciences
Survival Medicine & Life Sciences
Taiwan Medicine & Life Sciences
Genes Medicine & Life Sciences
Therapeutics Medicine & Life Sciences
Sample Size Medicine & Life Sciences

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Projects 1995 2020


Li, C.


Project: Research project


Lee, I.


Project: Research project

Research Output 1985 2019

1 Citation (Scopus)

Aberrant FGFR signaling mediates resistance to CDK4/6 inhibitors in ER+ breast cancer

Formisano, L., Lu, Y., Servetto, A., Hanker, A. B., Jansen, V. M., Bauer, J. A., Sudhan, D. R., Guerrero-Zotano, A. L., Croessmann, S., Guo, Y., Ericsson, P. G., Lee, K. M., Nixon, M. J., Schwarz, L. J., Sanders, M. E., Dugger, T. C., Cruz, M. R., Behdad, A., Cristofanilli, M., Bardia, A. & 11 others, O’Shaughnessy, J., Nagy, R. J., Lanman, R. B., Solovieff, N., He, W., Miller, M., Su, F., Shyr, Y., Mayer, I. A., Balko, J. M. & Arteaga, C. L., 2019 Dec 1, In : Nature communications. 10, 1, 1373.

Research output: Contribution to journalArticle

Open Access
Breast Neoplasms
Protein-Tyrosine Kinases

Active learning with simultaneous subject and variable selections

Ivan Chang, Y. C. & Chen, R-B., 2019 Feb 15, In : Neurocomputing. 329, p. 495-505 11 p.

Research output: Contribution to journalArticle

Problem-Based Learning
Patient Selection
Sample Size

Adaptive treatment allocation for comparative clinical studies with recurrent events data

Gao, J., Su, P. F., Hu, F. & Cheung, S. H., 2019 Jan 1, (Accepted/In press) In : Biometrics.

Research output: Contribution to journalArticle

Recurrent Events
clinical trials
data analysis
Biased Coin Design

Student theses

A framework to analyze in-line measurements for yield enhancement in wafer fabrication

Author: 家華, 蔡., 2017 Aug 1

Supervisor: Jeng, S. (Supervisor)

Student thesis: Master's Thesis

A Model-Based Sampling Selection Method Based on Classical Multivariate Analysis Methods

Author: 翊涵, 林., 2018 Jul 17

Supervisor: Chao, C. (Supervisor)

Student thesis: Master's Thesis

An Empirical Bayesian Approach for Testing Normality

Author: 易錦, 呂., 2017 Sep 12

Supervisor: Chang, S. (Supervisor)

Student thesis: Master's Thesis