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.
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R & SPSS Workshop Series
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We are delivering a series of workshops targeted to researchers who would like to learn R and/or SPSS. We try to keep these workshops at the basic level so that no pre-requisites are required and we can attend all interested researchers, regardless of their background in statistics. The workshops are focused on types of analyses that in our experience are most used at CAMH. We will include optional assignment lists and office hours to attend those who want to go deeper on the subject matter presented in the workshops, and those who have questions.
As a CAMH researcher, you should have access to both SPSS and R/RStudio. You can request CAMH help desk for access to SPSS. R/RStudio are free wnad you can download and install from the internet.
The workshops will be delivered via Webex, and relevant links, datasets and other materials will be emailed to you a day or two before the workshop for which you are registered. We will record the sessions and make them available here. There will be optional assignments for thowse who want to go a little further into their learning. We will also set up virtual office hours to go over solving the assignments and any question related to the workshops.
To register for the workshops, please, complete this form. If you have any question, please, don't hesitate contacting Marcos (marcos.sanches@camh.ca).
SPSS Workshop Schedule (Registration)
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Tuesday, Oct 05 from 12 to 1pm
Introduction to SPSS Part I
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Dataset and Data Dictionary
Entering data manually
Importing data from Excel
Sorting and quick data inspection
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Tuesday, Oct 12 from 12 to 1pm
Introduction to SPSS Part II
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Recode
Compute
If conditional
Split File and Select Cases
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Tuesday, Oct 19 from 12 to 1pm
Introduction to SPSS Part III
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Crosstab
Means
Graphs
Explore
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Tuesday, Oct 26 from 12 to 1pm
Introduction to SPSS Syntax
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We will show you how the SPSS syntax works. This is about reproducibility, not coding/programing. The idea is that you have enough understanding of SPSS syntax so that you can use it if you want, but most importantly, keep a record of what you did.
Tuesday, Nov 2 from 12 to 1pm
SPSS Means and Proportions I
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We will show how to compare means and proportions in SPSS. With this workshop we will enter Statistical Inference territory, and part of the workshop will be an overview of the scientific method, how statistics fits into it, and what p-values means.
We plan to cover:
t-tests for independent samples
Chi-square tests for contingence tables
Tuesday, Nov 9 from 12 to 1pm
SPSS Means and Proportions II
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In this workshop we plan to finish covering location tests. We hope to cover:
Paired Sample t-test
Simple ANOVA (Analysis of Variance)
Non-parametric Mann-Whitney U test
Non-parametric Kruskal-Wallis H Testl
Non-parametric Wilcoxon Test
Non-parametric Friedman Test
Tuesday, Nov 16 from 12 to 1pm
SPSS Linear Regression I
We will cover linear regression in general, including:
Categorical and Continuous Variables
Variable Selection
Confounders
Predictive and Exploratory models
Coefficients and Interpretation
Tuesday, Nov 23 from 12 to 1pm
SPSS Logistic Regression
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We will cover Logistic Regression, including:
Definition of binary outcomes, Probability, Odds and Risk
Logistic Regression basics and interpretation.
Tuesday, Nov 30 from 12 to 1pm
SPSS Mixed Models I
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The workshop will cover:
Longitudinal Data;
Basics of fixed and random effects;
Restructuring Data in SPSS;
Within and Between Subject Variables;
Within subjet correlation;
Interpretation of Results.
Tuesday, Dec 7 from 12 to 1pm
SPSS Linear Regression II
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We will expand on what we learned in the first workshop, including:
Interactions
Model Diagnostics (Influence, outliers)
Estimated Marginal Means
Tuesday, Dec 14 from 12 to 1pm
SPSS Mixed Models II
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In this workshop we will dive a little deeper into Mixed Models and get some ideas of the different ways we can specify random effect and covariance structure for residuals.
(Jan-Mar 2025)
SPSS Workshop Recordings
R Workshop Recordings
Meta-Analysis Workshop (Nov 2024)
Meta-Analysis Workshop Recordings
R & SPSS Workshop Series (Jan-Feb 2024)
SPSS Workshop Recordings
R Workshop Recordings
R & SPSS Workshop Series (Feb-Apr 2023)
SPSS Workshop Recordings
R Workshop Recordings
Past Events
SPSS and R Workshop Series (Apr-Jun 2022)
SPSS Workshop Series (Feb-Apr 2021)
R Workshop Schedule (Regstration)
Wednesday, Oct 6 from 12 to 1pm
R and RStudio - Overview
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Software installation
What is R and RStudio
RStudio tour
Introduction to Script and Markcown
Wednesday, Oct 13 from 12 to 1pm
Introduction to R part I
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Reaing data into R
Dataframes, lists, variables
How to work with dataframes in general
Missing values in R
Wednesday, Oct 20 from 12 to 1pm
Introduction to R part II
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Some basic functions in R
Describing the data
Means, Standard Deviations
Tables
R Help
Wednesday, Oct 27 from 12 to 1pm
Introduction to package dplyr
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dplyr is a R package quite useful for ‘data wrangling’. We will cover the primary functions:
mutate (creating new variables)
select (select columns)
filter (select rows)
arrange (sort)
summarise (summary stats)
“%>%” (forward pipe operator, from magrittr pacakge)
Wednesday, Nov 3 from 12 to 1pm
Introduction to package ggplot2
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ggplot2 is a package for data visualization.
We will go over some basic graphs using ggplot2.
Scatterplot + smoothing line
Boxplot
Barchart
Line plot
Wednesday, Nov 10 from 12 to 1pm
Basic Tests
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Tests of Means (t-test, Anova)
Non-parametric tests
Chi-square and Fisher's tests
Correlation tests
This workshop will also include some basic and general statistical concepts like p-values.
Wednesday, Nov 17 from 12 to 1pm
Linear Regression
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Simple and Multiple Linear Regression
Residuals adn Predicted Values
Influential Points and Outliers
Normality and Linearity
Interactions
Estimated Marginal Means
Wednesday, Nov 24 from 12 to 1pm
Logistic and Poisson Regression
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Binary and Count data
Crosstable, Odds Ratio and Relative Risk
Probability and Odds Scale
Logistic Model
Poissson Model
Overdispersion
Estimated Marginal Means
Wednesday, Dec 1 from 12 to 1pm
Mixed Models
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Longitudianl and Clustered data
Random Effects
Models for Covariance of Residuals
Non-normal data longitudinal data, Mixed Lotisitc Regerssion and GEE
Past Events
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11 workshops held on Webex You can access the recordings and do the assignments!
Computing Fundamentals - Introduction to R (Oct 2020)
Video 1 - Introducting myself and some quick stats background (7m19s)
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