Method for analyzing time-to-event data

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Reference no: EM133111586

Outline - Supervised Learning

• Data analysis
- Descriptive statistics, graphical representations, statistical testing
• Regression analysis
- Simple and multiple linear models
- Generalized Linear Models
• Exponential family of distributions
• Logistic regression and Classification
• Survival Analysis
- Kaplan-Meier curves, log-rank tests
- Cox proportional hazards model

• Survival Analysis

Outline

- Life Tables and Kaplan-Meier curves
- Hypothesis testing: log-rank
- Regression: Cox proportional hazards model

Survival Analysis - Definition
• Method for analyzing time-to-event data, estimate the time until an event occurs (survival time)
• Event (or failure) can be:
- Death (from diagnosis)
- Disease relapse (from end or treatment or surgery)
- Failure of electronic component (from operation starting)
- Divorce (from marriage)
• Many areas of application
- health, reliability analysis, social studies,...

Survival analysis: A self-learning text, Kleinbaum D.G. and Klein M., Springer 2012 BC, 2021/2022

Censored data
• The survival time is not known exactly
• The event is not experienced before the study ends; a person is lost to follow-up during the study period or withdraws due to other reasons

Attachment:- Survival Analysis.rar

Reference no: EM133111586

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