An introduction to survival curve analysis for microbiologists.
Aims
- Provide an overview for using survival curves to analyse
time-to-death data in commonly-used virulence model data.
- Give guidance on things to consider when planning experiments in
terms of thinking about levels of replication and how they change
your survival curve analysis.
- Demonstrate how survival curves can be fit using a variety of
methods.
- Give guidance on how to simulate data before an experiment to help
with planning experiments.
Targeted audience
- Microbiologists who have expertise about their biological model but
might lack the statistical expertise needed to develop and fit
survival model in a rigorous way.
- Microbiologists who already have some frequentist/Bayesian
statistical experience but might lack specific expertise abouit
survival models.
Contact
Any questions or suggestions for the project can be given in the
Issues
tab of this repository, or you can email Daniel Padfield at
d.padfield@exeter.ac.uk.
Further reading
If you want more information on survival analysis beyond the scope of
our introductory primers and code walk-throughs, there are other
resources available that we have found very useful.