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

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For the course syllabus click here.

Useful links:

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.

    Read this:

  • Numbers matter (text file).

    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.

    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.

    Homework

  • 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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