Por Andreas Bender (Department of Statistics at LMU Munich and Senior Consultant at the Statistical Consulting Unit - StaBLab).
Reduction techniques for survival analysis have become popular in recent years. These transform a survival task into a more standard regression task based on suitable data transformation.
In this talk, we will introduce one such technique, the Piece-wise exponential Additive Mixed Model (PAMM). The talk will illustrate how the model can be used for flexible modeling of covariate effects and accommodate non-proportional hazards. In addition to single-event, right-censored data, the talk will cover left-truncated data, recurrent events, and competing risks.
The talk will provide hands-on examples of how to fit and interpret the model using R Code, based on an implementation in package ‘pammtools’.
Transmissão via Zoom.
