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.

    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 TBA.
  • Lab 4: Breast cancer mortality data and asbestos fibers data. Due on TBA.
  • Asbestos paper (see lab 4).
  • Resistance to breathing paper (see hw 2).

    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.
  • 12. Simulating points using the maps package - R commands.
  • 13. Permutation test in simple regression - R commands.

    Homework

  • Homework 1: Due on Wednesday, 15 October.
  • Homework 2: Due on Wednesday, 29 October.

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