Year of Creation: 2017
Posted Online on: 29 July 2017
Posted Online on: 6 May 2023
Duration: 1 Hours 26 Minutes
The Survival Analysis course is designed to teach you how to analyse time-to-event data using SPSS software. This course is ideal for individuals who are involved in medical research, epidemiology, social sciences, and other fields that require the analysis of time-to-event data. In this course you will learn how to use SPSS to analyse survival data, which includes data on the time to an event, such as death, failure of a machine, or occurrence of a disease. You will also learn how to account for censoring, which occurs when some participants do not experience the event before the end of the study. The course will cover a range of topics, including data preparation and management, Kaplan-Meier estimation, Cox proportional hazards regression, parametric survival models, and competing risks analysis. You will also have the opportunity to work with real-world datasets to gain hands-on experience and develop practical skills.
On completion of this course you will be able to:
- Conduct Survival Analysis with confidence
- Calculate relevant Survival Analysis using SPSS
- Plan and test hypotheses based on Survival analysis
- Perform Survival analysis and present the results in standard format.
- Familiarity with basic research process will be helpful but not essential.
- A keen desire to master Statistics and SPSS
- A laptop with internet connection
- Familiarity with basic computer and operating system
Recommended Foundation Course(s)
Students are expected to be familiar with the following Foundation course(s) before going through this course:
Questions and Answers
Premium Members can post their course related questions and problems in Discussion Forum to get a response.
You will receive a course completion certificate after completion of the course.