CRAN/E | idem

idem

Inference in Randomized Controlled Trials with Death and Missingness

Installation

About

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.

Citation idem citation info
github.com/olssol/idem/
System requirements GNU make

Key Metrics

Version 5.1
R ≥ 3.4.0
Published 2021-01-27 1185 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks idem results

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Maintainer

Maintainer

Chenguang Wang

cwang68@jhmi.edu

Authors

Chenguang Wang

aut / cre

Andrew Leroux

aut / cre

Elizabeth Colantuoni

aut

Daniel O Scharfstein

aut

Trustees of Columbia University

cph

(tools/make_cpp.R, R/stanmodels.R)

Material

NEWS
Reference manual
Package source

In Views

CausalInference
MissingData

Vignettes

idem: Inference in Randomized Controlled Trials with Death and Missingness

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

idem archive

Depends

R ≥ 3.4.0
Rcpp ≥ 0.12.0
methods

Imports

rstan ≥ 2.18.1
sqldf ≥ 0.4
survival ≥ 2.38
mice ≥ 3.9.0
parallel ≥ 3.2

Suggests

knitr
shiny
rmarkdown
pander
DT
shinythemes

LinkingTo

StanHeaders ≥ 2.18.0
rstan ≥ 2.18.1
BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppEigen ≥ 0.3.3.3.0