Free

Event Information

Share this event

Date and Time

Location

Location

HS790, 155 College Street, DLSPH

Canada

Event description

Description

Tuesday, April 17th SAS - Chris Tait

9-4pm

HS790 Computer lab

This workshop is designed to introduce students to the principles and methods of basic epidemiological analysis using SAS statistical software. Through attending the workshop, students will get comfortable with the SAS interface and working environment, learn how to merge multiple data sets into one analysis data set, and understand how to operationalize data using SAS. Students will become comfortable with several key procedures and data steps in SAS, as well as be exposed to many of the common syntax options that can be applied when manipulating, describing, and analyzing data in SAS. Some examples of advanced functions including running different regression models may be demonstrated towards the end of the workshop, time permitting.

Experience needed: At least some familiarity in quantitative data analysis up to regression (e.g. CHL5202 Biostatistics II or equivalent).

This session is now full. We are offering another SAS session on Monday, April 16th. To sign up for the session, go here: https://www.eventbrite.ca/e/mon-april-16th-sas-additional-session-tickets-44933286670

Everyone will be able to attend - please do not worry. Email practicum.dlsph@utoronto.ca if you have any questions or concerns.

Capacity: 50


Wednesday, April 18th ArcGIS - Emma Buajitti

9-11am

HS108

ArcGIS is a geographic information system for creating maps and managing geographic data. This workshop will introduce students to the mapmaking process in ArcGIS, from understanding geographic data to producing polished maps for a variety of purposes. No background in geography or experience with spatial data is needed.

Note that ArcGIS is free to UofT students via Map and Data Library (https://mdl.library.utoronto.ca/technology/gis-software/esri-software-request) and can only be installed on Windows computers. You should bring your laptops and download this prior to attending. You are more than welcome to pair up with another student who has a windows laptop to learn about the software.


Capacity: 54


Thursday, April 19th Introduction to R - Kevin Thorpe

9-1pm

2-4pm Hands on training

HS106

An introduction to the use of R software for quantitative data analysis for those who have no previous experience with R, but do have some quantitative research training (i.e. CHL5220 or equivalent).

Note that students should download and install R prior to attending (http://probability.ca/cran/). More details to follow once students have signed up. Students are required to bring their laptops.

Capacity: 84


Monday, April 23rd Introduction to STATA

9-12pm

1-3pm Hands on training

HS790 Computer lab

This is an advanced introduction to Stata intended for people already comfortable programming in SAS, R or SPSS to do a ‘cross-over’ to Stata. The session will not include a basic introduction to data analysis.

Experience needed: Most attendees will have taken previous intermediate statistics courses using software (examples include CHL5202 Biostatistics II, CHL5406 Quantitative Methods for Biomedical Research, CHL5407 Categorical Data Analysis for Epidemiologic Studies, or CHL5208 Lab in Statistical Design and Analysis)

Capacity: 50


Friday, April 27th Dedoose for qualitative data analysis - Olesya Falenchuk, Ontario Institute for Studies in Education (OISE)

Time: 9-12pm

Location: HS790 Computer lab

Dedoose is a cloud-based software for analysis of qualitative and mixed data, such as transcripts of in-depth interviews, focus groups and field notes, data from electronic web surveys, audio, and video data. The web-based nature of this software allows collaborations of the researchers across different platforms (PC and Mac) in real time. The purpose of this workshop is to introduce participants to Dedoose software, discuss the key points for efficient use and teamwork, as well as to provide participants with an opportunity to acquire some hands-on experience. Specifically, the participants will learn how to link their data to Dedoose, code qualitative data, manage quantitative data, and explore the patterns and trends in the findings with a variety of visual tools. This workshop is appropriate for beginner researchers with no previous knowledge of Dedoose as well as those who would like to expand their knowledge and skills with this software.

Capacity: 50


Friday, April 27th NVivo - Olesya Falenchuk, Ontario Institute for Studies in Education (OISE)

Time: 1-4pm

Location: HS790 Computer lab

NVivo 11 is a software package for analysis of qualitative data, such as transcripts of in-depth interviews, focus groups and field notes, data from electronic web surveys, audio, video, and social media data. The purpose of this workshop is to introduce participants to the NVivo 11 Suite, discuss the key differences between different versions of this software, as well as to provide participants with an opportunity to acquire some hands-on experience. Specifically, the participants will learn how to prepare their text and media data for analyses with NVivo 11, import and organize their data in NVivo, add research notes while analyzing the data, and code qualitative data in a variety of different ways. This workshop is appropriate for beginner researchers with no previous knowledge of NVivo as well as those who would like to expand their knowledge and skills with this software.

Capacity: 50

This session is now full. Due to demand, we are offering another session on April 26th 1-4pm in HS790. You can sign up for the session here: https://www.eventbrite.ca/e/april-26th-1-4pm-nvivo-additional-session-tickets-45112317155

Please email practicum.dlsph@utoronto.ca to if you have any questions or concerns.

___________________________________________

Please note there are limited spots for each workshop. Once you have signed up, we require a commitment to attend as there will be a waitlist and considerable efforts have been put in place to maximize students’ engagement. If you sign up but then decide not to attend, please be courteous and cancel on Eventbrite at least 48 hours before the workshop so that we can open the spot to a student on the waitlist. Students who miss sessions without cancelling in advance will not be permitted to register for future workshops. We appreciate your efforts in ensuring the broadest participation and opportunities for your fellow students.

If you wish to cancel your registration for ALL sessions, follow the instructions outlined in the following link. You may need to create an annount to delete your posting: https://www.eventbrite.com/support/articles/en_US/How_To/how-to-cancel-your-free-registration?lg=en_US

If you wish to cancel only 1 or 2 of the sessions you previously registered for, please email practicum.dlsph@utoronto.ca. Thank you.

___________________________________________

Email Sarah at practicum.dlsph@utoronto.ca if you have any questions or concerns.

Share with friends

Date and Time

Location

HS790, 155 College Street, DLSPH

Canada

Save This Event

Event Saved