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Survival Analysis Using SPSS: Statistics and Theory
Published 11/2025
Duration: 3h 22m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 1.64 GB
Genre: eLearning | Language: English
Learn Survival Analysis from Scratch, with Step-by-Step Tutorial Using SPSS
What you'll learn
- Master the Foundations of Survival Analysis
- Select and Apply the Correct Survival Analysis Method
- Perform Survival Analyses and Interpret Statistical Output
- Produce Publication-Ready Reports and Complete an Applied Project
Requirements
- No Prerequisite. A Basic Knowledge Statistics and SPSS is recommended
Description
Survival Analysis is one of the most important statistical methods used in medical research, engineering, social sciences, public health, reliability testing, epidemiology, and time-to-event modeling. This course,Survival Analysis, provides a complete, step-by-step understanding of how to analyze time-dependent outcomes, interpret survival functions, compare groups, and build predictive survival models.
Designed for students, researchers, and professionals, this course takes you from the core foundations to practical hands-on interpretation-including Kaplan-Meier estimation, Cox Regression, censoring, hazard rates, and APA-style reporting. By the end, you will be fully prepared to conduct your own survival-based research or replicate real-world studies.
What This Course Covers?
Foundations of Survival Analysis
You will begin with essential conceptual building blocks:
Introduction to Survival Analysis
What Survival Analysis Is
History of Survival Analysis
Core Concepts and Terminology
To build a strong theoretical understanding, the course explains:
Time, Event, and Residual Life
Hazard, Hazard Rate, and Survival Rate
Conditional Probability in Survival Analysis
Understanding Censored vs. Uncensored Data
Mean Time Between Failures (MTBF) vs. Mean Time To Failure (MTTF)
Kaplan-Meier vs. Cox Regression
A critical part of the course explains:
When to use Kaplan-Meier?
When to use Cox Regression?
Research examples illustrating both methods
Hands-On Preparation for Survival Analysis
You will gain step-by-step guidance on:
Setting data for survival analysis
Formulating research objectives and hypotheses
Understanding input options for the Kaplan-Meier method
Interpreting Survival Output
You will learn to interpret all major survival analysis results:
Case Processing Summary & Survival Tables
Mean Survival, Median Survival, Percentiles
Pairwise Comparisons between groups
Survival Function Plots
Linking Survival Functions with other statistical results
APA Style Reporting
You will learn how to write:
Complete APA-style reports for Kaplan-Meier Survival Analysis
Clear, publication-ready interpretations of survival curves and statistical tests
Practical Project
The course concludes with:
A real-world project replicating an actual survival analysis study- putting all your knowledge into practice.
By the End of This Course, You Will Be Able To:
Understand key concepts such as hazard rate, survival rate, censoring, and time-to-event outcomes
Collect and prepare data for survival analysis
Run Kaplan-Meier survival analysis and Cox proportional hazards regression
Interpret survival curves, group comparisons, and statistical tables
Know when to apply each method and why
Produce APA-style written reports suitable for research or publication
Conduct independent survival analysis projects with confidence
Who Should Enroll?
This course is ideal for:
Medical and clinical researchers
Biological and health sciences students
Data analysts and statisticians
Engineers working on reliability analysis
Social science researchers
Graduate students preparing thesis or dissertation analyses
Anyone working with time-to-event, duration, or failure-time data
Who this course is for:
- Anyone looking to learn Survival Analysis
More Info
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