Bayesian Multi-State Models for Early Oncology
Check a visits data set for correct format
Compute progression-free-survival rate given sample
The oncomsm package
Convert parameter sample to data table
Summary plot of model prior
Swimmer plot of multi-state data
Plot progression-free-survival function
Plot the response probability distributions
Plot the transition times of a model
Print an srpmodel
Sample parameters from a model
Sample visits from predictive distribution
Simulate results under a custom decision rule
A stable-response-progression model
Convert cross-sectional visit data to multi-state format
Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.
Useful links