Survival Analysis Using SPSS Statistics and Theory

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BestSoftCrack · #1 Post Postao/la **BestSoftCrack** » 04 Dec 2025 08:03

Free Download Survival Analysis Using SPSS Statistics and Theory
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 21m | Size: 1.64 GB
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 AnalysisYou will begin with essential conceptual building blocks:Introduction to Survival AnalysisWhat Survival Analysis IsHistory of Survival AnalysisCore Concepts and TerminologyTo build a strong theoretical understanding, the course explains:Time, Event, and Residual LifeHazard, Hazard Rate, and Survival RateConditional Probability in Survival AnalysisUnderstanding Censored vs. Uncensored DataMean Time Between Failures (MTBF) vs. Mean Time To Failure (MTTF)Kaplan-Meier vs. Cox RegressionA critical part of the course explains:When to use Kaplan-Meier?When to use Cox Regression?Research examples illustrating both methodsHands-On Preparation for Survival AnalysisYou will gain step-by-step guidance on:Setting data for survival analysisFormulating research objectives and hypothesesUnderstanding input options for the Kaplan-Meier methodInterpreting Survival OutputYou will learn to interpret all major survival analysis results:Case Processing Summary & Survival TablesMean Survival, Median Survival, PercentilesPairwise Comparisons between groupsSurvival Function PlotsLinking Survival Functions with other statistical resultsAPA Style ReportingYou will learn how to write:Complete APA-style reports for Kaplan-Meier Survival AnalysisClear, publication-ready interpretations of survival curves and statistical testsPractical ProjectThe 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 outcomesCollect and prepare data for survival analysisRun Kaplan-Meier survival analysis and Cox proportional hazards regressionInterpret survival curves, group comparisons, and statistical tablesKnow when to apply each method and whyProduce APA-style written reports suitable for research or publicationConduct independent survival analysis projects with confidenceWho Should Enroll?This course is ideal for:Medical and clinical researchersBiological and health sciences studentsData analysts and statisticiansEngineers working on reliability analysisSocial science researchersGraduate students preparing thesis or dissertation analysesAnyone working with time-to-event, duration, or failure-time data
Who this course is for
Anyone looking to learn Survival Analysis
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