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Fits the mixed cumulative incidence functions model suggested by doi:10.1093/biostatistics/kxx072 which decomposes within cluster dependence of risk and timing. The estimation method supports computation in parallel using a shared memory C++ implementation. A sandwich estimator of the covariance matrix is available. Natural cubic splines are used to provide a flexible model for the cumulative incidence functions.
github.com/boennecd/mmcif | |
System requirements | C++17 |
Bug report | File report |
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