林長鋆
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Chang-Yun Lin
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Office
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Room 607
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Phone
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886-4-2286-0133 ext 607
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E-mail
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chlin6@nchu.edu.tw
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Research
Interests
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· Design of Experiments
· Statistical Quality Control
· Genetic Statistics
· Deep learning
· Bayesian methods
· Machine
learning
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EDUCATION
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Ph.D., Statistics, National Tsing Hua University, Taiwan. 2004/09-2009/01.
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M.S.,
Statistics, National Tsing Hua University, Taiwan. 1995/09-1997/07.
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B.A.,
Statistics, National Chung Hsing University. Taiwan. 1991/09-1995/07.
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WORKING EXPERIENCE
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Industrial experience
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Manager.
(2007 – 2008). General Manager Office. P-two Industries Inc., Taiwan.
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Deputy Manager.
(2007). Quality
Management Div., Innolux Display
Corp., Taiwan.
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Section
Manager. (2001 – 2005). Department of Production/Quality Assurance.
Infomax Optical Technology Corp., Taiwan.
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Engineer. Division of
R&D. (1999 – 2000). Everlight Chemical Industrial Corp., Taiwan.
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Academic experience
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Professor. (2019/02 – present). Department of Applied
Mathematics and Institute of Statistics, National Chung Hsing
University, Taiwan.
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Associate Professor. (2016/02
– 2019/01). Department of Applied Mathematics and Institute of
Statistics,
National Chung Hsing University, Taiwan.
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Assistant Professor. (2012/08
– 2016/01). Department of Applied Mathematics and Institute of
Statistics,
National Chung Hsing University, Taiwan.
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Postdoctoral
Research Fellow.
(2011 – 2012/07). McDermott Center for Human Growth and Development, UT
Southwestern Medical Center, Texas, USA.
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Postdoctoral
Research Fellow.
(2009 – 2011). Department of
Epidemiology and Population Health, Albert Einstein College of Medicine of
Yeshiva University. New York, USA.
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Research
Assistant.
(2005 – 2007). Department of Statistics, Academic Sinica, Taiwan.
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TEACHING
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Machine learning
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Deep learning
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Reinforcement learning
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Design
of experiments
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Statistical
quality control
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Reliability
analysis
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Precalculus
(teaching in English for international students)
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Calculus
(teaching in English for international students)
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Biostatistics
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Probability
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Regression
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GRANT AND FUNDING
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Industry-academy cooperation
Grant Title
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Principal
Investigator
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Funder
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Period
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Talent Cultivation Subsidy Program in the
Science Park
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Chang-Yun Lin
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Taiwan Science
Park
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2024-2025
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Talent Cultivation Subsidy Program in the
Science Park
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Chang-Yun Lin
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Taiwan Science
Park
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2023-2024
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CTR Gel
Longitudinal Mura Forecast
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Chang-Yun
Lin
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AOU Optronics Corperation, Taiwan
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2020-2021
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Data analysis and model
verification of AUO Q12 engagement prediction model
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Chang-Yun
Lin
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AOU Optronics Corperation, Taiwan
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2020-2021
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Big data oriented
TPMS service solution.
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Chang-Yun
Lin
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Central Taiwan Science Park
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2019-2020
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Development of the MRT TPMS sensor
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Chang-Yun
Lin
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Central Taiwan Science Park
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2018-2019
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Research
grant
Grant Title
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Principal
Investigator
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Funder
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Period
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(3 years)
Research on developing the generalized Bayesian
Alphabetic optimality criterion family and minimum response surface multilevel equivalent estimation design
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Chang-Yun Lin
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National Science and Technology Council, Taiwan
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2024-2027
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(2 years)
Construction, analysis, and development for
mixtrue-process variable designs in multistratum structures
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Chang-Yun Lin
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Ministry of Science and Technology, Taiwan
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2022-2024
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(2 years)
Data
analysis and follow-up designs for supersaturated multistratum desgins
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Chang-Yun Lin
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Ministry of Science and Technology, Taiwan
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2020-2022
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(2 years)
Generalized Bayesian D criterion for multistratum designs and its
applications
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Chang-Yun
Lin
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Ministry of Science and Technology, Taiwan
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2018-2020
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(2 years)
Robust designs: robust split-plot designs to model misspecification and robust
projective designs to model uncertainty with high efficiency
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Chang-Yun
Lin
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Ministry of Science and Technology, Taiwan
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2016-2018
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(2 years)
The
applications of definitive screening designs on block and split-plot
designs
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Chang-Yun
Lin
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Ministry of Science and Technology, Taiwan
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2014-2016
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The application of D' statistic on contingency table
for low-frequency dataset
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Chang-Yun
Lin
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Ministry of Science and Technology, Taiwan
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2013-2014
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Adjusted FDR control for discrete statistics in multiple tests
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Chang-Yun
Lin
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Ministry of Science and Technology, Taiwan
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2012-2013
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Teaching grant
Grant Title
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Principal
Investigator
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Funder
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Period
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Bridging Academia and Industry: Innovative Teaching
Research in Experimental Design of Digital Classrooms and Virtual
Factories through "Continuous Improvement Projects"
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Chang-Yun Lin
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Ministry of
Education
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2024-2025
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(2 years)
MOOCs: Statistical Quality Control
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Chang-Yun Lin
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National Chung
Hsing University, Taiwan
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2024-2025
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Breaking out of Amazon: Combining the "AWS
DeepRacer" education platform of Amazon in the United States to
conduct a research on the teaching effectiveness
of "Applied Deep Reinforcement Learning"
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Chang-Yun Lin
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Ministry of
Education
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2023-2024
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(2 years)
MOOCs: Reinforcement Learning
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Chang-Yun Lin
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National Chung
Hsing University, Taiwan
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2023-2024
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By participating in the data analysis competition
on the Kaggle international network platform, conduct innovative teaching
research on "Statistical Learning and Data Mining"
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Chang-Yun
Lin
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Ministry of
Education, Taiwan
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2022-2023
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(2 years)
MOOCs: Deep Learning I
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2022-2023
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Create a virtual field with VR technology,
conduct simulated experiment operations, and innovate the teaching
methods of experimental design courses
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Chang-Yun
Lin
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Ministry of
Education, Taiwan
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2021-2022
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(2 years)
MOOCs: Statistical Leaning and Data mining
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2021-2022
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Create a small factory in the classroom: a practical
teaching for "Statistical Quality Control" using 3D printers
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Chang-Yun
Lin
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Ministry of
Education, Taiwan
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2020-2021
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(2 years)
MOOCs
and flipped classroom: Design of Experiments II (Intermediate)
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2020-2021
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Innovative teaching
research in experimental design: practice, flipping, and technology
integration
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Chang-Yun
Lin
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Ministry of
Education, Taiwan
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2019-2020
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Flipped classroom
in Statistical Quality Control
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2019
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(2 years)
MOOCs
and flipped classroom: Design of Experiments I (Basic)

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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2018-2019
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Flipped classroom
in Reliability Analysis
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2017
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Flipped classroom
in Regression Analysis
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2016
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(2 years)
Flipped
classroom in Calculus
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2014-2015
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Digital material
recording in Precalculus
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Chang-Yun
Lin
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National Chung
Hsing University, Taiwan
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2013
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PUBLISHICATIONS
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Journal
article
19.
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Lin C-Y*, Yang P. (2018) Robust
multistratum baseline designs. Computational
Statistics & Data Analysis. 118: 98-111.
DOI: 10.1016/j.csda.2017.08.009. (MOST
105-2118-M-005-004-MY2).
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18.
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Lin C-Y*, Yang P, Cheng S-W. (2017) Minimum
contamination and beta-aberration criteria for screening quantitative
factors. Statistica Sinica.
27(2): 607-623. DOI:
10.5705/ss.202015.0313. (MOST 105-2118-M-005-004-MY2).
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17.
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Yang P, Lin C-Y*. (2017) Optimal
split-plot orthogonal arrays. Australian
& New Zealand Journal of Statistics. DOI: 10.1111/anzs.12178. 59(1): 81-94.
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16.
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Lin C-Y*, Yang P. (2015) Response
surface methodology using split-plot definitive screening designs. Journal of Quality Technology. DOI: 10.1080/00224065.2015.11918139. 47(4): 351-362.
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15.
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Lin C-Y*. (2015) Construction
and selection of the optimal balanced blocked definitive screening
design. Metrika. 78(4): 373-383. DOI: 10.1007/s00184-014-0507-7.
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14.
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Yang P*, Lin
C-Y, Li W. (2015) Blocked
semifoldovers of two-level orthogonal designs. Metrika. 78(5): 529-548. DOI:
10.1007/s00184-014-0514-8.
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13.
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Platkin C*, Yeh M-C, Wiewel EW, Lin C-Y, Tung H-J, Hirsch K, Castellanos VH. (2014) The
effect of menu labeling with calories and exercise equivalents on food
selection and consumption. BMC
Obesity. 1:21. DOI: 10.1186/s40608-014-0021-5.
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12.
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Lin C-Y, Xing G, Ku H-C, Elston RC, Xing C*. (2014). Enhancing the
power to detect low-frequency variants in genome-wide screens. Genetics.
196: 1293-1302. DOI: 10.1534/genetics.113.160739.
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11.
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Lin
C-Y*. (2014). Optimal
blocked orthogonal arrays. Journal
of Statistical Planning and Inference. 145: 139-147. DOI: 10.1016/j.jspi.2013.08.016.
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10.
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Smith HO, Stephens ND, Qualls CR, Fligelman
T, Wang T, Lin C-Y,
Burton E, Griffith JK, Pollard JW. (2013). The
clinical significance of inflammatory cytokines in primary cell culture
in endometrial carcinoma. Molecular
Oncology. 7(1): 41-54. DOI:
10.1016/j.molonc.2012.07.002.
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9.
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Lin C-Y, Xing
G, Xing C.* (2012). Measuring
linkage disequilibrium by the partial correlation coefficient. Heredity. 109: 401-402.
DOI: 10.1038/hdy.2012.54.
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8.
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Lin C-Y, Lo
Y-T, Ye K.* (2012). Genotype copy number
variations using Gaussian mixture models: theory and algorithms. Statistical Applications in Genetics and Molecular Biology.
11(5), Art. 5. DOI: 10.1515/1544-6115.1725.
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7.
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Krupka M, Seydel K,
Feintuch CM, Yee
K, Kim R, Lin C-Y, Calder RB, Petersen
C, Taylor T, Daily J.Mild (2012)
Plasmodium
falciparum malaria following an episode of severe malaria is associated with
induction of the interferon pathway in Malawian children. Infection and Immunity. 80(3):
1150-1155. DOI: 10.1128/IAI.06008-11.
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6.
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Lin C-Y*,
Cheng S-W. (2012). Isomorphism
examination based on count vector. Statistica Sinica. 22(3): 1253-1272. DOI: 10.5705/ss.2010.246.
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5.
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Wang T*, Lin
C-Y, Zhang Y, Wen R, Ye K. (2012). Design and
Statistical Analysis of Pooled Next Generation Sequencing for Rare
Variants. Journal of
Probability and Statistics. 2012, Art. ID 524724, 19 pages.
DOI: 10.1155/2012/524724.
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4.
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Xing
G, Lin C-Y, Wooding SP,
Xing C*. (2012). Blindly
using Walds test can miss rare disease-causal variants in case-control
association studies. Annals of
Human Genetics. 76(2): 168-177. DOI:
10.1111/j.1469-1809.2011.00700.x.
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3.
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Xing
G, Lin C-Y, Xing C*.
(2011). A
comparison of approaches to control for confounding factors by regression
models. Human Heredity.
73(3): 194-205. DOI: 10.1159/000332743.
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2.
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Mills RE, Walter K, Stewart C, Handsaker RE,
Chen K, Alkan C, Abyzov A, Yoon SC, Ye K, Cheetham RK, Chinwalla A,
Conrad DF, Fu Y, Grubert F, Hajirasouliha I, Hormozdiari F, Iakoucheva
LM, Iqbal Z, Kang S, Kidd JM, Konkel MK, Korn J, Khurana E, Kural D, Lam
HY, Leng J, Li R, Li Y, Lin C-Y,
Luo R, Mu XJ, Nemesh J, Peckham HE, Rausch T, Scally A, Shi X, Stromberg
MP, Stütz AM, Urban AE, Walker JA, Wu J, Zhang Y, Zhang ZD, Batzer MA,
Ding L, Marth GT, McVean G, Sebat J, Snyder M, Wang J, Ye K, Eichler EE,
Gerstein MB, Hurles ME, Lee C, McCarroll SA, Korbel JO; 1000 Genomes
Project. (2011). Mapping
copy number variation by population scale genome sequencing. Nature. 470: 59-65.
DOI: 10.1038/nature09708.
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1.
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Wang T*, Lin
C-Y, Rohan TE, Ye K*. (2010).
Resequencing
of pooled DNA for detecting disease associations with rare variants. Genetic Epidemiology. 34: 492-501.
DOI: 10.1002/gepi.20502.
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arXiv
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Book
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