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 (Oct-Dec 2021)
SPSS Workshop Meterial
R Workshop Material
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.
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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)
Tuesday, Oct 05 from 12 to 1pm Introduction to SPSS Part I | Dataset and Data Dictionary Entering data manually Importing data from Excel Sorting and quick data inspection |
Tuesday, Oct 12 from 12 to 1pm Introduction to SPSS Part II | Recode Compute If conditional Split File and Select Cases |
Tuesday, Oct 19 from 12 to 1pm Introduction to SPSS Part III | Crosstab Means Graphs Explore |
Tuesday, Oct 26 from 12 to 1pm Introduction to SPSS Syntax | 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 | 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 | 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 | 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 | 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 | 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 | 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. |
R Workshop Schedule (Regstration)
Wednesday, Oct 6 from 12 to 1pm R and RStudio - Overview | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | Longitudianl and Clustered data Random Effects Models for Covariance of Residuals Non-normal data longitudinal data, Mixed Lotisitc Regerssion and GEE |
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