Survival Analysis (Time-to-Event Data): an Introduction
Course
In London
Description
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Type
Course
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Level
Intermediate
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Location
London
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Class hours
7h
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Duration
1 Day
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Start date
Different dates available
This one-day course for non-statisticians will introduce you to the concept of modelling time-to-event data ('survival analysis').
Survival/time-to-event analysis is appropriate when the outcome of interest is an event and that event has not occurred for everyone in the dataset. The outcome can be something negative (e.g. death, recurrence of a tumour) or something positive (e.g. recovery, task completion).
The simplest analysis is the log-rank test that assesses differences according to a single factor. Cox proportional hazards regression is appropriate to investigate the rate at which the event occurs according to several potential predictors. Both will be covered in this course.
This course is run by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).
Facilities
Location
Start date
Start date
About this course
By the end of this course you should be able to:
recognise the applicability of time-to-event/survival analyses
understand censoring
understand how life-tables and Kaplan-Meier plots are constructed
understand the applicability and limitations of log-rank testing
have a basic understanding of Cox proportional hazards regression
compare Cox models and identify outliers
know how to set up a dataset for time-varying covariates
The course is for non statisticians and is open to anyone who wants to learn about the basics of survival/time-to-event analysis.
Knowledge of the very basics of statistics (such as means, standard deviation, confidence intervals, etc.) is beneficial.
You can request a certificate of attendance for this course once you've completed it.
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Subjects
- Life tables
- Life Cycle
- Hazard ratios
- Cox regression
- Regression types
- Regressions with R
- Kaplan-Meier plots
- Assessing
- SPSS output
- Cox proportional
Course programme
This workshop will cover the following topics:
- Use of Kaplan-Meier plots
- Life tables
- Cox regression analyses
- Hazard ratios
- How to set up the data for analysis
- Including interaction terms in the models
- Assessing model outliers
- Interpretation of SPSS output
Please note that there will be no actual computer work during the workshop. Although SPSS is used for illustration purposes, the workshop is suitable if you're using other software packages.
The datasets can be taken away and models fitted using alternative software.
Survival Analysis (Time-to-Event Data): an Introduction