summary.ImputeSimFit.object: summary.ImputeSimFit object

In scientific-computing-solutions/dejaVu: Multiple Imputation for Recurrent Events

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

scientific-computing-solutions/dejaVu documentation built on May 29, 2019, 3:44 p.m.