JointFPM - A Parametric Model for Estimating the Mean Number of Events

Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.

Last updated 5 months ago

recurrent-eventssurvival-analysis

4.73 score 7 stars 11 scripts 276 downloads

ExclusionTable - Creating Tables of Excluded Observations

Instead of counting observations before and after a subset() call, the ExclusionTable() function reports the number before and after each subset() call together with the number of observations that have been excluded. This is especially useful in observational studies for keeping track how many observations have been excluded for each in-/ or exclusion criteria. You just need to provide ExclusionTable() with a dataset and a list of logical filter statements.

Last updated 2 months ago

4.48 score 6 stars 9 scripts 182 downloads

TreeMineR - Tree-Based Scan Statistics

Implementation of unconditional Bernoulli Scan Statistic developed by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree structures. Tree-based Scan Statistics are an exploratory method to identify event clusters across the space of a hierarchical tree.

Last updated 3 months ago

tree-based-scan-statistics

3.70 score 2 scripts 230 downloads