林逸芬-en – NYCU

Professor I-Feng Lin

Mail : iflin@nycu.edu.tw

Tel : 02-2826-7000#67311

Education

Doctor of Public Health in Biostatistics, Columbia university
Master of Science in Biostatistics, University of Texas Health Science Center at Houston

Experience

Associate professor, National Yang-Ming University, Taiwan
Assistant professor, National Yang-Ming University, Taiwan
Lecturer, Department of social medicine, National Yang-Ming University

Professional Specialty

Biostatistics, Quantitative analysis in public health research

Selected Publication

Hsieh WA#, Lin IF#, Ho JH, Chang PW. 30 years follow-up and increased risks of breast cancer and leukaemia after long-term low dose-rate radiation exposure. British J Cancer 2017 Dec 5; 117(12):1883-1887(#Equal contribution)
Wang MC, Lin IF*. Managing nonignorable missing data with clustered multinomial Responses. Statistical Modelling. 2015;15(6):548-563 (*Corresponding author)
Lin IF*,Chang WP, Liao YN. Shrinkage Methods Enhanced the Accuracy of Parameter Estimation Using Cox models with Small Number of Events. J Clinical Epidemiology 2013; Jul;66(7):743-51 (*Corresponding author)
Yen PN, Yang CC, Chang WP, Wang JD, Hwang JS, Chang TC, Kuo KL, Lin IF*. Late effects on the health-related quality of life in a cohort population decades after environmental radiation exposure. International Journal of Radiation Biology 2013; Aug;89(8):639-44 (*Corresponding author)
Chuang PH, Chuang JH, Lin IF*. A Dynamic Estimation of the Daily Cumulative Cases during Infectious Disease Surveillance: Application to Dengue Fever. BMC Infectious diseases 2010;10:136 (*Corresponding author)

Selected Advisee Thesis

A Dynamic Estimation of the Daily Cases during Infectious Disease Surveillance
Comparisons of the Cancer Risk Estimates between Excess Relative Risk and Relative Risk Models：A Case Study
Event Per Variable in Cox Proportional Hazard Model
Managing Nonignorable Missing Data with Clustered Multinomial Responses
Modeling the Ageing Effect on Changes of Health Index: a Case Study