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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  5 months and 18 days ago 421 main
conda 201.0 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_3.conda  5 months and 18 days ago 439 main
conda 201.1 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_2.conda  1 year and 6 months ago 885 main
conda 201.8 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_2.conda  1 year and 6 months ago 936 main
conda 205.1 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_1.tar.bz2  2 years and 2 months ago 1303 main
conda 205.3 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_1.tar.bz2  2 years and 2 months ago 1294 main
conda 204.5 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_0.tar.bz2  2 years and 10 months ago 1871 main
conda 204.2 kB | noarch/r-powersurvepi-0.1.3-r40hc72bb7e_0.tar.bz2  2 years and 10 months ago 1867 main

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