idem

Inference in Randomized Controlled Trials with Death and Missingness

CRAN Package

In randomized studies involving severely ill patients, functional outcomes are often unobserved due to missed clinic visits, premature withdrawal or death. It is well known that if these unobserved functional outcomes are not handled properly, biased treatment comparisons can be produced. In this package, we implement a procedure for comparing treatments that is based on the composite endpoint of both the functional outcome and survival. The procedure was proposed in Wang et al. (2016) doi:10.1111/biom.12594 and Wang et al. (2020) doi:10.18637/jss.v093.i12. It considers missing data imputation with different sensitivity analysis strategies to handle the unobserved functional outcomes not due to death.


Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends1 package
  • Imports6 packages
  • Suggests6 packages
  • Linking To6 packages