pmsampsize
Sample Size for Development of a Prediction Model
Computes the minimum sample size required for the development of a new multivariable prediction model using the criteria proposed by Riley et al. (2018) doi:10.1002/sim.7992. pmsampsize can be used to calculate the minimum sample size for the development of models with continuous, binary or survival (time-to-event) outcomes. Riley et al. (2018) doi:10.1002/sim.7992 lay out a series of criteria the sample size should meet. These aim to minimise the overfitting and to ensure precise estimation of key parameters in the prediction model.
- Version1.1.3
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release12/06/2023
Documentation
Team
Joie Ensor
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- Reverse Imports1 package