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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-post-staging / r-powersurvepi
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conda 208.6 kB | noarch/r-powersurvepi-0.1.3-r44hc72bb7e_3.conda  1 year and 29 days ago 875 main
conda 201.0 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_3.conda  1 year and 29 days ago 908 main
conda 201.1 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_2.conda  2 years and 2 months ago 1341 main
conda 201.8 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_2.conda  2 years and 2 months ago 1385 main
conda 205.1 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_1.tar.bz2  2 years and 10 months ago 1694 main
conda 205.3 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_1.tar.bz2  2 years and 10 months ago 1678 main
conda 204.5 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_0.tar.bz2  3 years and 6 months ago 2260 main
conda 204.2 kB | noarch/r-powersurvepi-0.1.3-r40hc72bb7e_0.tar.bz2  3 years and 6 months ago 2279 main

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