MetaAnalysis from A to Z
This workshop focuses on the practical “how to” of quantitative research synthesis. Preventive health research, like many disciplines, has a body of empirical research that is growing rapidly. Over the last four decades, data science aggregation and statistical methods have been developed to systematically and reproducibly synthesize the literature for a particular research question. These methods are commonly incorporated under the terms research synthesis or metaanalysis. Metaanalysis is used to derive an estimate of an overall effect size, combined with detailed moderator analyses with respect to the diversity and sensitivity of results.
Learning objectives
In this workshop participants will learn how to:
Schedule
This is a full day workshop beginning at 9.30 am and ending at 4.30 pm with a one hour break for lunch and will take place on Friday May 1st at the Vanier Library (Loyola Campus) in room VL 122. 
This workshop is led by Jennifer J McGrath, PhD MPH, PERFORM Chair in Childhood Preventive Health & Data Science and founder of Data Scientifique, an initiative that fosters data science opportunities among researchers. She has pioneered rigorous pediatric ambulatory measurement standards and advocates for reproducibility of science through opensource data science methods. Dr. McGrath has facilitated several metaanalyses through to completion, spanning diverse topics such as heart rate variability, executive functioning, socioeconomic status, racial discrimination, and goal adjustment.

Introduction to R
R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are fulltime number cruncher, or just the occasional data analyst, R will suit your needs. This multipart introduction to R programming requires little previous experience and is aimed at helping workshop participants to master the basics of R.
In this workshop, the following topics will be covered:
Learning Objectives
In this workshop participants will:
Schedule
There will be three 2hour sessions on the following Mondays: January 13, 20 and 27 from 57 pm at the Vanier Library (Loyola Campus) in room VL122 

Data Management in R
More and more users are migrating to R for data analysis. Before they can get to the analysis however they need to know how to import data, recode variables, handle missing observations and reshapre their dataset as needed. This workshop teaches many of the skills you will need for data management. Some prior R knowledge is required.
In this workshop, the following topics will be covered:

Schedule
There will be two 2hour sessions on Monday February 17th and Tuesday March 3rd from 57 pm at Vanier Library (Loyola Campus) in room VL122 
Leader
This workshop is led by Yara Abu Awad
This workshop is led by Yara Abu Awad
Advanced Functions in R
R is becoming an increasingly popular coding language used by researchers for the most complex data analysis tasks. In order to tap into the true power of R, some more advanced knowledge of R functions is required. These functions allow users to optimize code for repetitive tasks, reduce coding mistakes, improve reproducibility and save time. For example, it is possible to import a thousand files or run a thousand regressions using one line of code! In this workshop, the following topics will be covered:


Learning Objectives
In this workshop participants will:
Schedule
There will be two 2hour sessions on Tuesday March 24th and Tuesday March 31st from 57 pm at the Webster Library in room LB207. 
Leader
This workshop is led by Yara Abu Awad
This workshop is led by Yara Abu Awad