| Name : R-jointVIP
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.5
| Date : 2024-06-14 11:59:26
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| Group : Development/Libraries/Other
| Source RPM : R-jointVIP-0.1.2-lp153.1.5.src.rpm
|
| Size : 2.52 MB
| |
| Packager : (none)
| |
| Summary : Prioritize Variables with Joint Variable Importance Plot in Observational Study Design
|
Description :
In the observational study design stage, matching/weighting methods are
conducted. However, when many background variables are present, the
decision as to which variables to prioritize for matching/weighting is
not trivial. Thus, the joint treatment-outcome variable importance
plots are created to guide variable selection. The joint variable
importance plots enhance variable comparisons via unadjusted bias
curves derived under the omitted variable bias framework. The plots
translate variable importance into recommended values for tuning
parameters in existing methods. Post-matching and/or weighting plots
can also be used to visualize and assess the quality of the
observational study design. The method motivation and derivation is
presented in \"Using Joint Variable Importance Plots to Prioritize
Variables in Assessing the Impact of Glyburide on Adverse Birth
Outcomes\" by Liao et al. (2023) < arXiv:2301.09754>. See the package
paper by Liao and Pimentel (2023) < arxiv:2302.10367> for a beginner
friendly user introduction.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
