校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

R語言在環境衛生之應用

Application of R Program in Environmental Health

學期
114-1
學分
2 學分
當期課號
131216
永久課號
MDIH30073
開課單位
國際衛生碩士學位學程
授課教師
潘文驥
校區
陽明
類別
選修
上課時間表
週二
5
13:20–14:10
R語言在環境衛生之應用
YS105
2 節連堂
6
14:20–15:10

* 根據陽明交大上課時間表所列

概述

After taking the course, students will be able to 1. Use R program for statistical analysis and apply frequently used statistical models on their own research, 2. Learn how to model continuous exposures and outcomes in an advanced fashion (e.g. splines), 3. Deal with data when the underlying statistical assumptions do no hold.

先修科目

no needed....

教學方式

For each session, a 1-hour lecture will be delivered followed by a 1-hour hands-on analysis using R statistical program. Students will be able to implement their own codes for statistical analysis taught in the class.

評分方式

60% Final project (real-world dataset will be distributed for analysis) 20% Two homework assignments (10% for each) 20% Class Participation

週次計畫
週次主題
第 1 週Meta Introduction
第 2 週Introduction to R Environment I
第 3 週Introduction to R Environment II
第 4 週1st Progress Report (idea)
第 5 週Statistical Package
第 6 週Generalized Linear Model
第 7 週Technical Discussion I
第 8 週Concentration-response Relationship (HW1 due)
第 9 週Modeling Relationship (Linear and Categorical factors)
第 10 週Modeling Relationship (Splines)
第 11 週Technical Discussion II
第 12 週T.B.A. (HW2 due)
第 13 週T.B.A.
第 14 週2st Progress Report
第 15 週T.B.A.
第 16 週Presentation for Final Project
教科書

Course Text:  Peter Dalgaard. Introductory Statistics with R (Paperback) 2nd Edition. Springer-Verlag New York, Inc. ISBN 978-0-387-79053-4  Hothorn and Everitt. A Handbook of Statistical Analysis Using R, 3rd Edition. CRC Press. ISBN 978-1-4822-0458-2.  Edward McNeil. Data Management and Visualisation using R. ISBN 978-6-162-71594-5  P. M. McCullagh and John A. Nelder. Generalzied Linear Models. 2nd Edition. Chapman and Hall, London. ISBN 978-0-412-31760-6  T. J. Hastie and R. J. Tibshirani. Generalize Additive Models. Chapman and Hall, London. ISBN 978-0-412-34390-2  David Rupert, M. P. Wand, and R. J. Carroll. Semiparametric Regression. Cambridge University Press. ISBN 978-0-511-75545-3  W. N. Venables and B. D. Ripley. 2002 Modern Applied Statistics with S. 4th Edition. Springer. ISBN 0-387-95457-0 Other Useful Reference:  An Introduction to R. Online manual at R website at http://cran.r-project.org/manuals.html  Andreas Krause, Lelvin Olson. 2005. The Basics of S-PLUS. 4th Edition. Springer-Berlag, New York. ISBN 0-387-26109-5  Jose Pinheiro and Douglas Bate. 2000. Mixed-effects models in S and S-PLUS. Springer-Verlag, Berlin. ISBN 0-387-98957-9

Office Hours
地點
Room 307, Medical Building II
時間
by appointment
聯絡方式
wenchipan@nycu.edu.tw