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r / packages / r-pmsampsize

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.

Type Size Name Uploaded Downloads Labels
conda 60.9 kB | noarch/r-pmsampsize-1.1.2-r43h142f84f_0.tar.bz2  10 months and 1 day ago 14 main
conda 60.3 kB | noarch/r-pmsampsize-1.1.2-r42h142f84f_0.tar.bz2  2 years and 4 months ago 45 main
conda 53.7 kB | noarch/r-pmsampsize-1.0.1-r36h6115d3f_0.tar.bz2  4 years and 8 months ago 108 main

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