Beyond the Statistics Refresher Course
- Start Date: October 02, 2017
- End Date: October 05, 2017
- Time: 8:30am-4:30pm
- City: Revelstoke BC
- Venue: Okanagan College - 1401 1 St W, Revelstoke, BC, Rm 105
- Instructor: Dr. Carl Schwarz
Course Description
This course builds on the popular Stat Refresher courses offered from CMI and extends the methods in the intro course. Students can use R or JMP for (1) and (2) and (3a) below. Students will need R for (3b). You can take all or part of the 4-day course, see course options below.
Class Size: class size is limited to 20 people.
Bring: Laptop computer pre-loaded with software (see below)
Prerequisites: Stat Refresher course from CMI or equivalent (e.g. a course in basic statistics)
Required Software:
– R/Rstudio
– Adobe Reader
– Excel
– OpenBugs/JAGS if taking the Bayesian module
Course Content
Each topic is taught in 1 day, we have set it up so that students can pick and choose. Suggested combinations are as follows:
- 4 day course in this order: 3b, 1, 2, 3a
- 3 day course in this order: 3b, 1, 2
- 3 day course in this order: 1, 2, 3a
1. Regression and ANCOVA – Oct 3, 2017
– review of simple linear regression
– multiple regression
– model selection using AIC methods
– Analysis of Covariance (multiple regression including categorical variables).
2. More advanced analysis of experiments – Oct 4, 2017
– review of single factor completely randomized and blocked designs
– two factor designs with one size of experimental unit
– two factor designs with multiple sizes of experimental units (split-plot designs) which are very common in ecological studies
– multi-factor designs
3a. Basic multivariate analysis – Oct 5, 2017
– cluster analysis
– principal components
– discriminant analysis
– ordination using Curtis-Bray analyses and non-metric multi-dimensional scaling (NMDS)
– correspondence analysis
3b. Introduction to Bayesian analysis – Oct 2, 2017 (This was the first day if needed)
– why go Bayesian? what it does and does not do
– some simple Bayesian models and how to interpret results
– capture-recapture
– censored data
– X values in regression measured with error
Instructor
Dr. Carl Schwarz, Department of Statistics and Actuarial Science, Simon Fraser University. Carl has taught many courses with CMI, and is back by popular request! Carl has just recently won the SSC Award for Impact of Applied and Collaborative Work 2017.
http://www.stat.sfu.ca/~cschwarz/
Preparation for the course
About 2 weeks before the course you will be sent a web link where you can download pre-reading, a course manual, a set of practice exercises to load on your computer before the class, and instructions on where and how to get the course software.
You will need to bring your own laptop pre-loaded with the required software and downloaded files.
Consider bringing along an external monitor and an external keyboard if you have a small laptop.
You will need to make your own hotel booking, and remember to ask for the rates we’ve arranged for people attending this course (see below).
** The course starts at 8:30 a.m. sharp, you will need to arrive before that so you can set up your computer.
Registration
Course registration includes catered refreshment breaks (2/day), students can bring their own lunch, order a bagged lunch through CMI (catered by La Baguette – very good quality and generous portions), or you can purchase your own lunch at a neighboring restaurant.
Where to Stay
We have set up a room-block at the Monashee Lodge, just one block away from the Okanagan College. Discounted room rates are available for $80/night plus tax. This includes a continental breakfast (hot breakfasts can be ordered at additional cost), and there is also a clean hot tub and infra-red sauna for your use. 250-814-2553. Please state that you are with “CMI” to receive the discounted rate.
Another option is to stay at the Gateway Inn where rooms are available at a 10% discount, rates starting at $69/night plus tax. Price includes a continental breakfast. The Gateway Inn is just across the street from Okanagan College. 250-837-2164. Please state that you are with “CMI” to receive the discounted rate.
Thank you to our host Okanagan College
