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idem  

Inference in Randomized Controlled Trials with Death and Missingness
View on CRAN: Click here


Download and install idem package within the R console
Install from CRAN:
install.packages("idem")

Install from Github:
library("remotes")
install_github("cran/idem")

Install by package version:
library("remotes")
install_version("idem", "5.2")



Attach the package and use:
library("idem")
Maintained by
Chenguang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-06
Latest Update:
Description:
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) and Wang et al. (2020) . It considers missing data imputation with different sensitivity analysis strategies to handle the unobserved functional outcomes not due to death.
How to cite:
Chenguang Wang (2016). idem: Inference in Randomized Controlled Trials with Death and Missingness. R package version 5.2, https://cran.r-project.org/web/packages/idem. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 1.0 (2016-07-06 00:46), 2.0 (2017-04-23 17:18), 2.2 (2017-06-30 15:30), 3.0 (2017-09-02 08:24), 3.5 (2018-04-12 11:46), 4.0 (2018-11-09 15:30), 5.0 (2020-05-24 01:50), 5.1 (2021-01-27 10:40), 5.2 (2023-08-09 12:30)
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