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

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- First lecture is on Tuesday, 05 January 2016

Location: MS 4000A.

Day/time: TR 11:00 - 12:15.

See you then!

For the course syllabus click here.
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Useful links:

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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.
Download RStudio.
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Read this:

Numbers matter (text file).

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Labs

0. Introduction to R.

1. Lab 1 - Due on Wednesday, 20 January,
by 22:00.

1a. Solutions to lab 1.

2. Lab 2: Using ecdf. Please read the paper on
beeswax (next link). Due on Wednesday, 27 January, by 22:00.

2a. Lab 2 is based on this paper.

2aa. Solutions to lab 2.

3. Lab 3: North Carolina SIDS data. Due on
Friday, 29 January, by 22:00.

3a. Solutions to lab 3.

4. Lab 4: Breast cancer mortality
data and asbestos fibers data. Due on Monday, 01 February, by 22:00.

4a. Lab 4 is based on this paper.

5. Lab 5: Normal and binomial
distributions. Due on Wednesday, 10 February, by 22:00.

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Handouts

1. "Statistics in the courtroom", by George Cobb and
Stephen Gehlbach.

2. Article for
an example of a controlled experiment.

3. Example: Comparing samples.

4. Article for exmaple in #3.

5. Article on simple regression analysis.

6. Measures of central tendency and
variation.

7. Introduction to regression
analysis.

8. Compare variability around sample mean of y with variability
around the fitted line.

9. Permutation test in simple regression - R commands.

10. Leverage values and outliers in regression - example.

11. Influential analysis - example.

12. Influential analysis - R commands for handouts 10 and 11.

13. Regression - practice questions.

13a. Practice questions - solutions.

14. Practice exam.

14a. Practice exam - solutions.

15. Practice exam. Only problems 1 and 3.

16. Discrete random variables (introduction).

17. Binomial and Poisson distributions - summary.

18. Normal distribution.

19. Linear combinations of normal random variables.

20. Central limit theorem (distribution of the
sample mean and the sample proportion).

21. Central limit theorem - examples.

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Homework

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Homework 1: Due on Wednesday, 20 January.

Homework 1a: Solutions to homework 1.

Homework 2: Due on Wednesday, 27 January.

Homework 2a: Solutions to homework 2.

Homework 3: Due on Monday, 08 February.

Homework 4: Due on Thursday, 11 February.

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Back to the Statistics Department
Home page.

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