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Functions to calculate power and sample size for testing main effect or interaction effect in the survival analysis of epidemiological studies (non-randomized studies), taking into account the correlation between the covariate of the interest and other covariates. Some calculations also take into account the competing risks and stratified analysis. This package also includes a set of functions to calculate power and sample size for testing main effect in the survival analysis of randomized clinical trials and conditional logistic regression for nested case-control study.

copied from cf-staging / r-powersurvepi
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conda 208.6 kB | noarch/r-powersurvepi-0.1.3-r44hc72bb7e_3.conda  6 months and 3 days ago 450 main
conda 201.0 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_3.conda  6 months and 3 days ago 466 main
conda 201.1 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_2.conda  1 year and 7 months ago 911 main
conda 201.8 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_2.conda  1 year and 7 months ago 964 main
conda 205.1 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_1.tar.bz2  2 years and 3 months ago 1330 main
conda 205.3 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_1.tar.bz2  2 years and 3 months ago 1321 main
conda 204.5 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_0.tar.bz2  2 years and 11 months ago 1900 main
conda 204.2 kB | noarch/r-powersurvepi-0.1.3-r40hc72bb7e_0.tar.bz2  2 years and 11 months ago 1893 main

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