| Name : R-SAMTx
| |
| Version : 0.3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.7
| Date : 2024-06-14 11:34:22
|
| Group : Development/Libraries/Other
| Source RPM : R-SAMTx-0.3.0-lp153.2.7.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Sensitivity Assessment to Unmeasured Confounding with Multiple Treatments
|
Description :
A sensitivity analysis approach for unmeasured confounding in
observational data with multiple treatments and a binary outcome. This
approach derives the general bias formula and provides adjusted causal
effect estimates in response to various assumptions about the degree of
unmeasured confounding. Nested multiple imputation is embedded within
the Bayesian framework to integrate uncertainty about the sensitivity
parameters and sampling variability. Bayesian Additive Regression
Model (BART) is used for outcome modeling. The causal estimands are the
conditional average treatment effects (CATE) based on the risk
difference. For more details, see paper: Hu L et al. (2020) A flexible
sensitivity analysis approach for unmeasured confounding with multiple
treatments and a binary outcome with application to SEER-Medicare lung
cancer data < arXiv:2012.06093>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
