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

###

- First lecture is on Thursday, 02 October 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 Thursday, 06 November before 00:05.

Lab 4: Breast cancer mortality data and asbestos fibers data.
Due on Thursday, 06 November before 00:05.

Asbestos paper (see lab 4).

Resistance to breathing paper (see hw 2).

Lab 5: Normal and binomial distribution.
Due on Monday, 17 November, by 11:55 pm.

Lab 6: Simple regression analysis.
Due on Wednesday, 19 November, by 11:55 pm.

Lab 7: Testing for two proportions: Simulated-based approach.
Due on Tuesday 25 November, by 11:55 pm.

Article for lab 7: "Statistics in the courtroom", by George Cobb and Stephen Gehlbach.

Lab 8: Simulations-based hypothesis testing for one mean and two means.
Due on Friday, 05 December, by 11:55 pm.

Lab 9: Simulations-based hypothesis testing for paired data.

Article related to lab 9 (paired data).

Lab 10 - example: Simulations-based hypothesis testing for oneway ANOVA.

Lab 10: ANOVA using simulations and theory.

###

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.

13. stockPortfolio package - R commands.

14. Simulating points using the maps package - R commands.

15. Permutation test in simple regression - R commands.

16. Compare variability around sample mean of y against variability
around the fitted line.

17. Normal distribution.

18. Linear combinations of normal random variables.

19. Discrete probability distributions (only binomial).

20. Binomial and Poisson distributions - summary.

21. The t distribution.

22. Simulations-based inference for one proportion.

23. Theory-based inference for one proportion.

24. Simulations-based inference for two proportions.

25. Simple regression - useful formulas.

26. Practice questions.

27. Confidence intervals.

28. Confidence intervals - answers to sample problems.

29. Hypothesis testing.

30. Article related to the paired-t test.

31. Testing for two population means.

32. Analysis of variance (ANOVA).

33. ANOVA - example.

34. Contingency tables.

36. Goodness-of-fit test.

37. Goodness-of-fit test - example.

###

Homework

####

Homework 1: Due on Wednesday, 15 October.

Homework 2: Due on Wednesday, 29 October.

Homework 3: Due on Thursday, 13 November.

Homework 4: Due on Friday, 21 November.

Homework 5: Due on Monday, 08 December.

Homework 6: Due on Wednesday, 10 December.

###

Back to the Statistics Department
Home page.

####