Grad stats course Biol 5081.03.

 

 

SEMINAR DATES 

  

 

The course will begin Monday 7 January

1:30 pm in room ACW204

We'll meet each monday for the term.

 

COURSE STRUCTURE

The course will involve a few different components:

1. I will lecture for perhaps the first half of the course providing what will likely be a review of statistics you've covered in the past. The focus will largely be applications of statistics to biological questions. So I'll likely go through a series of commonly used statistical methods but also provide a limited amount of the theory involved.

2. Each student will present a lecture (approx. 30 mins?) to the class, based upon some topic in statistics. This could be a topic you feel is relevant to your research, and so you might decide to teach it to us. It could be a particular statistical test you've encountered or wish to use. It could be something more theoretical, or problematic. We can decide upon these topics in discussions and I will provide some ideas. I would also perhaps like to focus on the use of SAS and so a number of seminars can be "instructional" on how/why/when to use particular SAS procedures, and what the output means.

3. Each student will analyse some experimental data (it could be your own data from your thesis work, or other data you obtain from the literature etc). You will then present a seminar to the class explaining the experiment(s) conducted and presenting the results of your statistical analysis (we'll torture the data, by doing a fairly extensive analysis). Again, you can discuss with me first the data/experiment you're going to analyse and how you might approach the analysis.

4. You'll write up the analysis of item (3) above and hand it in .

5. We will have a test toward the end of the course

6. I will also provide information on how to analyse your data using the computer stats package called SAS which can be accessed at York.

 

Mark breakdown will be:

1) First seminar 25%

2) Second seminar (your data analysis presentation) 20%

3) Your data write up 30%

4) Test 25%

 

SAS HANDOUT 1

Problem set 2

Problem set 3

Sas math and other expressions

 Problem set 5

(and answers)

Problem set 6 (t-tests mostly and relelvant SAS code)

Problem set 7 (single factor anova mostly and SAS code)

Problem set 8 (correlation and regression and review of various hypthesis tests).

Some notes on 1 and 2 way anovas

 

"SEMINAR HANDOUTS"

Power analysis

Multiple comparison tests

Chi-square tests

qtPCR stats