| Name : R-salbm
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.11
| Date : 2024-06-14 12:10:16
|
| Group : Development/Libraries/Other
| Source RPM : R-salbm-1.0-lp153.3.11.src.rpm
|
| Size : 0.41 MB
| |
| Packager : (none)
| |
| Summary : Sensitivity Analysis for Binary Missing Data
|
Description :
In a clinical trial with repeated measures designs, outcomes are often
taken from subjects at fixed time-points. The focus of the trial may
be to compare the mean outcome in two or more groups at some
pre-specified time after enrollment. In the presence of missing data
auxiliary assumptions are necessary to perform such comparisons. One
commonly employed assumption is the missing at random assumption (MAR).
The \'salbm\' package allows the user to perform a (parameterized)
sensitivity analysis of this assumption where the outcome of interest
is binary (coded as 0, 1, or NA). In particular it can be used to
examine the sensitivity of tests in the difference in outcomes to
violations of the MAR assumption. See the paper Daniel O. Scharfstein,
Jaron J. R. Lee, Aidan McDermott, Aimee Campbell, Edward Nunes, Abigail
G. Matthews, Ilya Shpitser \"Markov-Restricted Analysis of Randomized
Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis
and Identification Results\" (2021) < arXiv:2105.08868>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
