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BEGIN:VEVENT
DTSTART:20251120T210000Z
DTEND:20251120T220000Z
DTSTAMP:20251120T000000Z
SUMMARY:Modeling Binary Outcomes: Logistic Regression in R
DESCRIPTION:Do you want to analyze outcomes like disease presence\, voting 
 behavior\, or customer churn? Logistic regression is a powerful method for 
 modeling binary outcomes and understanding how different factors influence 
 the likelihood of an event. In this hands-on workshop\, you’ll learn how 
 to use R to build and interpret logistic regression models\, helping you 
 make informed decisions based on your data.\n\nThis workshop introduces 
 logistic regression using R\, with a focus on practical applications and 
 interpretation. In this session\, participants will:\n\n\n	\n	Understand 
 foundational concepts of logistic regression\n	\n	\n	Learn how to structure 
 and prepare data for logistic regression analysis\n	\n	\n	Use the glm() 
 function in R to fit multiple logistic regression models\n	\n	\n	Interpret 
 model coefficients\, including odds ratios\n	\n	\n	Evaluate the performance 
 and fit of logistic regression models\n	\n\n\nThis session is ideal for 
 participants who have some experience with R and are ready to explore 
 statistical modeling in a supportive\, practical setting. Attending the 
 linear regression workshop or having prior familiarity with linear 
 regression concepts will enhance your learning experience in this session\, 
 but it is not required.\n\nDetails: Any preparatory work for the session 
 can be found on its information page. This virtual workshop will be 
 recorded and shared on the same page\, and discoverable via the Sherman 
 Centre's Online Learning Catalogue.\n\nFacilitator Bio: Sahar is a PhD 
 candidate in the Health Research Methodology program at McMaster University 
 with a background in midwifery. She supports researchers in data analysis 
 using statistical software such as R\, SAS\, and SPSS\, research 
 methodology\, and evidence synthesis.\n\nCertificate Eligibility: This 
 workshop is eligible for the Sherman Centre's certificate program. For more 
 information\, visit scds.ca/certificate-program. \n\nCredit Eligibility: 
 This workshop counts toward credit for students in the Faculty of Science 
 who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any 
 questions\, please contact oursci@mcmaster.ca.
ORGANIZER;CN="The Sherman Centre for Digital Scholarship (SCDS)":MAILTO:scds@mcmaster.ca
CATEGORIES:Returning, DASH, DRI Training, SCDS Sponsored Events, Workshops
CONTACT;CN="The Sherman Centre for Digital Scholarship (SCDS)":MAILTO:scds@mcmaster.ca
STATUS:CONFIRMED
UID:LibCal-3918340
URL:https://libcal.mcmaster.ca/calendar/scds/logistic-regression
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