| summary.ImputeSimFit.object {dejaVu} | R Documentation |
summary.ImputeSimFit object
Description
The summary of a ImputeSimFit object. Rubin's formula
is used to combine the test statistics into a single summary
Arguments
treatment.effect |
The mean of the estimated treatment.effect from the imputed data |
se |
The standard error of the (log) treatment effect calculated using Rubin's formula |
df |
The number of degrees of freedom used to calculate the p-value |
adjusted.df |
The number of degrees of freedom used to calculate the adjusted p-value (this should be used if the complete data number of degrees of freedom is small) |
dispersion |
The mean of the estimated dispersion parameter |
pval |
The p-value for the test log(treatment.effect)=0 using Rubin's formula |
adjusted.pval |
The p-value for the test log(treatment.effect)=0 using Rubin's formula and the adjusted number of degrees of freedom |
dropout |
The number of subjects who drop out (per arm) for this imputed data set |
number.subjects |
The number of subjects (per arm) for this imputed data set |
Details
A print.summary.ImputeSimFit object has been implemented