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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  7 months and 19 days ago 582 main
conda 201.0 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_3.conda  7 months and 19 days ago 608 main
conda 201.1 kB | noarch/r-powersurvepi-0.1.3-r43hc72bb7e_2.conda  1 year and 8 months ago 1051 main
conda 201.8 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_2.conda  1 year and 8 months ago 1107 main
conda 205.1 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1403 main
conda 205.3 kB | noarch/r-powersurvepi-0.1.3-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1400 main
conda 204.5 kB | noarch/r-powersurvepi-0.1.3-r41hc72bb7e_0.tar.bz2  3 years and 1 month ago 1967 main
conda 204.2 kB | noarch/r-powersurvepi-0.1.3-r40hc72bb7e_0.tar.bz2  3 years and 1 month ago 1976 main

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