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Table of Contents

        1. Introduction to Survival Analysis
        2. What is Survival Analysis?
        3. History of Survival Analysis
        1. Terminology: Time Event and Residual Life
        2. Terminology: Understanding Hazard, Haza...
        3. Terminology: Understanding Conditional ...
        4. Terminology: Understanding Censored and...
        5. Terminology: Understanding Mean Time Be...
        1. Purpose of Survival Analysis
        2. Understanding Nature of Data Required t...
        3. Types of Survival Analysis
        4. When to Use Kaplan-Meier vs Cox Regress...
        5. Research Examples of Kaplan-Meier and C...
        6. Setting Data for Survival Analysis
        7. Setting Objective and Hypothesis of You...
        1. Understanding Input Options of Kaplan M...
        2. Interpreting Case Processing Summary an...
        3. Interpreting Mean Survival Median and P...
        4. Interpreting Pairwise Comparison
        5. Interpreting Survival Function Plot
        6. Interpreting Survival Function with oth...
        7. APA Style Report Writing of Kaplan Meie...
        1. Project in Survival Analysis: Replicat...

Contents

Survival Analysis Using SPSS

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    • SPSS

    Year of Creation: 2017

    Posted Online on: 29 July 2017

    Posted Online on: 6 May 2023

    Duration: 1 Hours 26 Minutes

    Course Description

    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.

    Learning Outcomes

    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.

    Requirements

    • 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:

    • IBM SPSS Statistics Foundation Course

    Questions and Answers

    Premium Members can post their course related questions and problems in Discussion Forum to get a response.

    Certification

    You will receive a course completion certificate after completion of the course.

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    Instructor

    Ritesh Chouhan
    Ritesh Chouhan

    Scholarsight is a Knowledge Organization. Our mission is to humanize scientific methods through technology-enabled learning. We are building Galaxy's biggest library of courses for scientists, inventors, and professionals.

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