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Data Analysis and Research

Survival Analysis Using SPSS

0 students
Last updated Jul 2026

Course Overview

About This Course

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.

Curriculum

5 Sections • 23 Lectures
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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An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.

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