R語言在環境衛生之應用
Application of R Program in Environmental Health
| 節 | 週二 |
|---|---|
5 13:20–14:10 | R語言在環境衛生之應用 YS105（陽明） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
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.
no needed....
無備註
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.
60% Final project (real-world dataset will be distributed for analysis) 20% Two homework assignments (10% for each) 20% Class Participation
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Meta Introduction 2026-09-08(二) 時數：[2026-09-08]潘文驥(2.00) |
| 第 2 週 | Introduction to R Environment I 2026-09-15(二) 時數：[2026-09-15]潘文驥(2.00) |
| 第 3 週 | Introduction to R Environment II 2026-09-22(二) 時數：[2026-09-22]潘文驥(2.00) |
| 第 4 週 | 1st Progress Report (idea) 2026-09-29(二) 時數：[2026-09-29]潘文驥(2.00) |
| 第 5 週 | Statistical Package (HW1 due) 2026-10-06(二) 時數：[2026-10-06]潘文驥(2.00) |
| 第 6 週 | Generalized Linear Model 2026-10-13(二) 時數：[2026-10-13]潘文驥(2.00) |
| 第 7 週 | (No Class)(APACHA) 2026-10-20(二) 時數：[2026-10-20]潘文驥(2.00) |
| 第 8 週 | Technical Discussion 2026-10-27(二) 時數：[2026-10-27]潘文驥(2.00) |
| 第 9 週 | Concentration-response Relationship 2026-11-03(二) 時數：[2026-11-03]潘文驥(2.00) |
| 第 10 週 | Modeling Relationship (Linear and Categorical factors) 2026-11-10(二) 時數：[2026-11-10]潘文驥(2.00) |
| 第 11 週 | Modeling Relationship (Splines) 2026-11-17(二) 時數：[2026-11-17]潘文驥(2.00) |
| 第 12 週 | Technical Discussion II 2026-11-24(二) 時數：[2026-11-24]潘文驥(2.00) |
| 第 13 週 | T.B.A. (HW2 due) 2026-12-01(二) 時數：[2026-12-01]潘文驥(2.00) |
| 第 14 週 | 2nd Progress Report 2026-12-08(二) 時數：[2026-12-08]潘文驥(2.00) |
| 第 15 週 | T.B.A. 2026-12-15(二) 時數：[2026-12-15]潘文驥(2.00) |
| 第 16 週 | Presentation for Final Project 2026-12-22(二) 時數：[2026-12-22]潘文驥(2.00) |
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
- 地點
- Room 307, Medical Building II
- 時間
- by appointment
- 聯絡方式
- wenchipan@nycu.edu.tw