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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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Statistics Online Computational Resource (SOCR):

http://www.socr.ucla.edu

#### It's online, therefore it exists!

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.

4b. Solutions to lab 4.

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

5a. Solutions to lab 5.

6. Lab 6: Central limit theorem.
Due on Friday, 12 February, by 22:00.

6a. Solutions to lab 6.

7. Lab 7: New Hampshire Democtratic primary.
Due on Monday, 15 February, by 22:00.

7a. Solutions to lab 7.

8. Lab 8: Simulation-based approach for the
difference between two proportions. Due on Monday, 22 February, by 22:00.

8a. Solutions to lab 8.

9. Lab 9: Confiddence intervals - empirical
investigation. Due on Sunday, 28 February, by 22:00.

9a. Solutions to lab 9.

Lab 10: Simulations-based hypothesis
testing for paired data.

Article related to lab 10 (paired data).

Lab 11 - example: Simulations-based hypothesis
testing for oneway ANOVA.

Lab 12: ANOVA using simulations and theory.

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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.

22. Practice questions.

23. Simulation-based inference for one proportion.

24. Theory-based inference for one proportion.

25. Simulation-based inference for two proportions.

26. Simulation-based
inference for two proportions (paper from THE LANCET).

27.
Article from THE LANCET on smoking and male:female ratio of newborn infants.

28. JAMA article on fish intake in pregnancy and
child growth.

29. Exam 1 - solutions.

30. Confidence intervals.

31. Confidence intervals - answers to sample problems.

32. Practice exam 2 - I.

32a. Practice exam 2 - I - solutions.

33. Practice exam 2- II.

33a. Practice exam 2- II - solutions.

34. Hypothesis testing.

35. Article related to the paired-t test.

36. Testing for two population means.

37. Two sample t test - example.

38. Article for the two sample t test
(see #37).

39. Analysis of variance (ANOVA).

40. ANOVA - example.

41. Exam 2 - solutions.

42a. Quiz - 2A.

42b. Quiz - 2B.

42c. Quiz - 2C.

42d. Quiz - 2D.

43. Practice problems for exam 3.

44. Practice problems for
exam 3 - solutions.

44a. Solution for ANOVA example
(see problem #4 - handout #44).

45. Multiple regression.

46. ANOVA using regression.

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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 3a: Solutions to homework 3.

Homework 4: Due on Thursday, 11 February.

Homework 4a: Solutions to homework 4.

Homework 5: Due on Monday, 29 February.

Homework 5a: Solutions to homework 5.

Homework 6: Due on Monday, 07 March.

Homework 6a: Solutions to homework 6.

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Back to the Statistics Department
Home page.

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