What is meant by Survival analysis?
"Survival analysis" (auch bekannt als "Überlebensanalyse" oder "Time-to-Event Analysis") is a statistical method used to analyze the time until the occurrence of a specific event. This method is applied in various fields such as medicine, biology, economics, engineering, and others, to examine and predict the behavior of events over time.
Typical functions of software in the "survival analysis" domain are:
- Data input: The software allows for the input of time data (e.g., survival time, observation time) and the occurrence or non-occurrence of the event for each case under study.
- Analysis methods: The software provides various statistical methods for analyzing survival data, including Kaplan-Meier estimator, Cox proportional hazards model, Weibull distribution, and others.
- Estimation of survival curves: The software can generate survival curves showing how the probability of event occurrence changes over time.
- Risk factor analysis: Users can identify risk factors and analyze their impact on survival by fitting models and calculating hazard ratios.
- Graphical representation: The software offers graphical representations such as Kaplan-Meier plots, Cox proportional hazards plots, and others to visualize the results of survival analysis.
- Group comparisons: Users can compare survival times between different groups or categories and perform statistical tests such as the log-rank test.
- Model validation: The software allows for the validation of survival models using various diagnostic tests and cross-validation methods.