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

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

    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.

    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 4: Due on Thursday, 11 February.

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