IBM SPSS - Intermediate: Logistic Regression and Survival Analysis

Course description

This course builds on the skills taught in the introductory courses as well as on the workshop about correlation and regression. It covers a regression technique that is appropriate for statistical analyses when the dependent variable of interest is dichotomous. Also analysis of time to event data is introduced. Although this course is aimed to be practically orientated with extensive use of the IBM SPSS statistical package, theoretical considerations related to selection of an appropriate statistical test as well as assumptions involved are addressed.

This course is under great demand. If your circumstances change and you cannot attend, please cancel your enrolment as quickly as possible.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event.

Type of course

Blended Learning workshop


Pawel Skuza

Who should attend

Staff and Research Higher Degree Students <!--?xml:namespace prefix = o /--><!--?xml:namespace prefix = o /-->

What you will learn

  • Logistic Regression
  • Kaplan-Meier Survival Analysis
  • Introduction to Cox Regression
  • Assumptions related to listed above statistical techniques
  • Use of syntax 

Prerequisites / assumed knowledge

Preferably participants should attend Introduction to SPSS, Introduction to Statistical AnalysisIntermediate SPSS: Understanding Your Data and Checking Assumptions and Intermediate SPSS: Correlation and Multiple Regression (or have an understanding of concepts/skills covered in those two introductory courses) before enrolling in this workshop.

Upcoming events

Thursday, 1st July 2021

Time: 9:00AM - 1:00PM
Location: Web Conference

Wednesday, 17th November 2021

Time: 9:00AM - 1:00PM
Location: Rm 451, Engineering building (Computer Training Suite)

Please remember if you can't attend a course anymore please unenrol yourself or move to the waiting list so others can attend.

Waiting list

To be notified of upcoming events, you can add your name to the waiting list.