Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences
For the course syllabus click here.
- First lecture is on Tuesday, 05 January 2016
Location: MS 4000A.
Day/time: TR 11:00 - 12:15.
See you then!
Statistics Online Computational Resource (SOCR):
It's online, therefore it exists!
Probability and Statistics EBook.
Download R and packages.
Numbers matter (text file).
0. Introduction to R.
1. Lab 1 - Due on Wednesday, 20 January,
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.
1. "Statistics in the courtroom", by George Cobb and
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
7. Introduction to regression
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.
inference for two proportions (paper from THE LANCET).
Article from THE LANCET on smoking and male:female ratio of newborn infants.
28. JAMA article on fish intake in pregnancy and
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
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.
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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