This function performs regression analysis for the win odds using a single numeric covariate.
# S3 method for formula
regWO(x, data, ...)a data frame containing the calculated win odds and its confidence interval, including:
WO_beta adjusted win odds.
LCL lower confidence limit for adjusted WO.
UCL upper confidence limit for adjusted WO.
SE standard error of the adjusted win odds.
WOnull win odds of the null hypothesis (specified in the WOnull argument).
alpha two-sided significance level for calculating the confidence interval (specified in the alpha argument).
Pvalue p-value associated with testing the null hypothesis.
N total number of patients in the analysis.
beta adjusted win probability.
LCL_beta lower confidence limit for adjusted win probability.
UCL_beta upper confidence limit for adjusted win probability.
SE_beta standard error for the adjusted win probability.
SD_beta standard deviation for the adjusted win probability.
WP (non-adjusted) win probability.
SE_WP standard error of the non-adjusted win probability.
SD_WP standard deviation of the non-adjusted win probability.
WO non-adjusted win odds.
COVAR_MEAN_DIFF mean difference between two treatment groups of the numeric covariate.
COVAR_VAR sum of variances of two treatment groups of the numeric covariate.
COVAR_COV covariance between the response and the numeric covariate.
formula returning the specified formula in the x argument.
ref showing how the reference group was selected. Can be modifying by specifying the ref argument.
an object of class formula.
a data frame.
additional parameters.
Gasparyan SB et al. (2021) "Adjusted win ratio with stratification: calculation methods and interpretation." Statistical Methods in Medical Research 30.2: 580-611. doi:10.1177/0962280220942558.
regWO(), regWO.data.frame().
regWO(AVAL ~ TRTP, data = KHCE)
regWO(AVAL ~ TRTP + EGFRBL, data = KHCE)
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