In this page you will find educational resources related to Biostistics. That includes announcements about events, material for online workshops, material related to workshops that we held in person, and other resources.
Event Schedule
Due to the Covid situation we have no workshop scheduled at the moment. Please, check again as the situation improves.
Computing Fundamentals - Introduction to R
This workshop is aimed at researchers who want to start learning R as a new tool for their data analysis. We will cover the basics of R and RStudio so that you can follow from there into learning specifics related to your area and the work you need to do. There is no pre-requisite other than having some basica familiarity with datasets.
Before the Workshop:
- Download the dataset that we will use here.
- Download the markdown file here.
- Install R and RStudio in your machine. See how in our video here.
Create a folder in your computer named "Intro to R" and save the dataset as well as the markdown file (from items 1 and 2 above) in that folder. Our workshop will start by creating a RStudio project which will use this folder. It is important that you have access to the internet and administrator rights in your computer so that we can install R Packages during the workshop.
In case you don't have admin rights, or you have issues installing R and RStudio, use option 4 below.
4. Create an account so that you can use RStudio claud server. You can do this here.
Once you created your account and are logged into it, click "Create New Project" on the top right. It will open RStudio remotely.
At the top, you can rename "Your Workspace/Untitled Project" to "Intro to R"
Then upload the dataset and markdown file (downloaded into your computer from items 1 and 2 above) inot the server by clicking the upload button on the bottom right window. You may have to upload twice, once for each file.
That is it. SIt back, relax and wait for the workshop!
Online Workshops and Tutorials
In this section you will find material that helps you to learn software and statistics related to the work you do in your research at CAMH.
SPSS Online Workshops
Since 2016 we have had frequent series of SPSS workshops. These workshops are delivered in person, in the CAMH computer lab. They expanded from the initial introductory courses to the current series that inovlves more than 10 different topics of interest to CAMH researchers.
To the extent of possible, we will try to make available here the material of those workshops, or online versions of them.
Introduction to SPSS
SPSS is probably the most popular software for Statistical Analysis at CAMH, and one that is accessible to researchers. The material available here will allow you to have a first and basic experience with SPSS, from opening the software, to importing data, doing some simple data cleaning and data analysis tasks. The material is currently in PDF format but it is in our priority list to have it also in video format.
- Download this PDF file and follow it by actively using SPSS.
What is SPSS?
Video 1 - You will learn:
- What is SPSS and how it store data
- General concepts of rows and columns in a dataset
- Elements of data and metadata
Typing in data
Vido 2 - You will learn:
- Define variable names, labels and values
- Type of variables
- How to enter data into SPSS manually
Importing Data into SPSS
Video 3 - You will learn:
- How to open an SPSS dataset
- How to read Excel datasets
- How to read CSV (comma separated values) datasets
Download this CSV Dataset, this SPSS Dataset and this Excel Dataset, and then follow the video!
SPSS Frequency and Crosstab
Video 4 - You will learn:
- How to use Freuqencies
- How to use Crosstabs
- Type of variables.
The activities in this video uses this SPSS Dataset.
SPSS Means
Video 5 - You will learn:
- How to calculate statistics for continuous variables
- Use of Frequency, Means and Descriptives
The activities in this video uses this SPSS Dataset.
Introduction to SPSS Syntax
In order for your data analysis to be reproducible, you need to keep a record of all you did. Ideally, that means everything from reading the initial dataset to your published results. Doing data cleaning and data analysis using script is the perfect way to make your research reproducible.
SPSS Syntax here does not mean SPSS programming. We just want you to know that is easy to do anything in SPSS using Syntax, and get you comfortable with it. As such, this course is very introductory, we don't expect you to have a high level of SPSS or programing knowledge in order to understand it. We do expect that you know SPSS at the introductory level, that you already know how to do some basica analysis using the point & click menu.
- Watch this video. Here I just give you a quick introduction to syntax and some tips.
- Download this SPSS Dataset, a this SPSS Syntax File.
R Online Workshops
Introduction to R
Here you will find a collection of videos and auxiliary material to help you get started with R.
There are not pre
What is R and RStudio?
Video 1 - You will learn:
- What is R
- What is R Studio
Installing R and RStudio
Video 2 - You will learn:
- How to find and download R and R Sutdio
- How to install R and R Studio
Opening RStudio and creating a project
Video 3- You will learn:
- Opening R Studio
- What is a R Studio Project
- Creating a R Studio Project
R Script and R Markdown
Video 4 - You will learn:
- What is R Script and R Markdown
- Why you should use them
- How to Create a new R Script and R Markdown
- How to run scripts in R Script and R Markdown
R Packages
Video 5- You will learn:
- What is a R Package
- How to find the package you need
- How to Install and Load a package
- How to use a package
Dataset Format CSV and Dataset Format SPSS - Please, download these datasets so that you can follow the activities in the video.
Importing a dataset into R
Video 6 - You will learn:
- How to import your data into R
- Inspecting the data
- Different types of R objects
Statistics
P-vlaues and the Scientific Method.
Video 1- You will learn:
- The scientific method
- How not to use p-value
- Definition of p-value
Contact
- Marcos (marcos.sanches@camh.ca).