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Survival Analysis Using SPSS

Welcome to Survival Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you master one of the most important statistical techniques for analyzing time-to-ev...

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Published 2026 · Last updated Jul 2026

Survival Analysis Using SPSS

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Course overview

Course Overview

Welcome to Survival Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you master one of the most important statistical techniques for analyzing time-to-event data. Whether you are a student, researcher, healthcare professional, epidemiologist, or data analyst, this course provides the knowledge and practical skills required to perform survival analysis confidently using IBM SPSS Statistics.


The course begins with the fundamentals of survival analysis and gradually progresses to advanced techniques used in research and clinical studies. You will learn how to prepare and manage survival data, handle censored observations, estimate survival probabilities using Kaplan–Meier analysis, perform Cox Proportional Hazards Regression, explore parametric survival models, and analyze competing risks. Through step-by-step demonstrations and real-world datasets, you will gain hands-on experience in conducting, interpreting, and reporting survival analyses for research and professional applications.


By the end of this course, you will have the confidence to apply survival analysis techniques using IBM SPSS Statistics and present your findings according to accepted research standards.


Learning Outcomes

Perform survival analysis using IBM SPSS Statistics with confidence.

Analyze time-to-event data using Kaplan–Meier and Cox Regression methods.

Handle censored data and interpret survival analysis results accurately.

Test research hypotheses and apply appropriate survival analysis techniques.

Present survival analysis findings in a professional and research-standard format.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research specialist

72% course score

+7

Project contributor

66% course score

+7

Independent practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Perform survival analysis using IBM SPSS Statistics with confidence

64% course score

+6 pts

Analyze time-to-event data using Kaplan–Meier and Cox Regression methods

70% course score

+7 pts

Handle censored data and interpret survival analysis results accurately

76% course score

+8 pts

Test research hypotheses and apply appropriate survival analysis techniques

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Confidence

68% course score

+7 pts

Curriculum

5 modules · 23 lessons · 0 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

Introduction to Survival Analysis
1:35
What is Survival Analysis?
5:25
History of Survival Analysis
13:53
Terminology: Time Event and Residual Life
3:18
Terminology: Understanding Hazard, Hazard Rate and Survival Rate
5:14
Terminology: Understanding Conditional Probability in Survival Analysis
6:10
Terminology: Understanding Censored and Uncensored Data
3:10
Terminology: Understanding Mean Time Between Failures vs. Mean Time To Failure
2:49
Purpose of Survival Analysis
1:38
Understanding Nature of Data Required to Run Survival Analysis
4:25
Types of Survival Analysis
4:41
When to Use Kaplan-Meier vs Cox Regression?
7:52
Research Examples of Kaplan-Meier and Cox Regression Methods
4:20
Setting Data for Survival Analysis
13:36
Setting Objective and Hypothesis of Your SA Research
8:22
Understanding Input Options of Kaplan Meier Method
18:09
Interpreting Case Processing Summary and Survival Tables
9:08
Interpreting Mean Survival Median and Percentiles
4:11
Interpreting Pairwise Comparison
11:14
Interpreting Survival Function Plot
15:21
Interpreting Survival Function with other Statistical Results
5:02
APA Style Report Writing of Kaplan Meier Survival Analysis
23:17
Project in Survival Analysis: Replicating a Real Study
42:52

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Questions

Frequently asked

Who is this course for?

This course is designed for learners who want a practical, guided path through Data Analysis and Research.

What will I learn?

Perform survival analysis using IBM SPSS Statistics with confidence. Analyze time-to-event data using Kaplan–Meier and Cox Regression methods. Handle censored data and interpret survival analysis results accurately.

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates to the lessons.

Is there a refund?

Yes. Eligible purchases include the platform money-back guarantee described at checkout.

We are committed to your progress

Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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