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.

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

Web conference

Presenters

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 Analysis, Intermediate 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.