#
Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences

###

- First lecture is on Thursday, 02 Otober 2014.

Location: WGYOUNG CS24.

Day/time: TR 09:30- 10:45.

See you then!

For the course syllabus click here.
###

Useful links:

####
For some of the labs you will need to access the Statistics Online Computational Resource (SOCR) at:

http://www.socr.ucla.edu

#### 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):

http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials.

Probability and Statistics EBook.

Download R and packages.
###

Read this:

Numbers matter (text file).

###

Labs

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).

###

Handouts

1. Measures of central tendency and
variation.

2. Empirical cumulative distribution function - example.

3. Survival analysis - example.

4. Survival analysis - R commands.

5. Introduction to R.

6. Introduction to regression
analysis.

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
analysis.

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

####

Homework 1: Due on Wednesday, 15 October.

Homework 2: Due on Wednesday, 29 October.

###

Back to the Statistics Department
Home page.

####