Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences
For the course syllabus click here.
- First lecture is on Thursday, 02 Otober 2014.
Location: WGYOUNG CS24.
Day/time: TR 09:30- 10:45.
See you then!
For some of the labs you will need to access the Statistics Online Computational Resource (SOCR) at:
It's online, therefore it exists!
The labs are listed under the following link (instructions will be given as to which lab is due when etc. - mainly distributions and experiments activities):
Probability and Statistics EBook.
Download R and packages.
Numbers matter (text file).
Lab 1: Lab based on the beeswax paper. Due on Wednesday, 15 October before 23:59.
Lab 2: Introduction to R. Due on Wednesday, 22 October before 23:59.
Lab 3: North Carolina SIDS data. Due on TBA.
Lab 4: Breast cancer mortality data and asbestos fibers data. Due on TBA.
Asbestos paper (see lab 4).
Resistance to breathing paper (see hw 2).
1. Measures of central tendency and
2. Empirical cumulative distribution function - example.
3. Survival analysis - example.
4. Survival analysis - R commands.
5. Introduction to R.
6. Introduction to regression
7. Leverage values and outliers in regression - example.
8. Influential analysis - example.
9. Influential analysis - R commands for handouts 7 and 8.
10. Regression - practice questions.
11. Introduction to stock market portfolio
12. Simulating points using the maps package - R commands.
13. Permutation test in simple regression - R commands.
14. Compare variability around sample mean of y against variability
around the fitted line
Homework 1: Due on Wednesday, 15 October.
Homework 2: Due on Wednesday, 29 October.
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