| Name : R-ipwCoxCSV
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.1
| Date : 2024-06-24 14:04:35
|
| Group : Development/Libraries/Other
| Source RPM : R-ipwCoxCSV-1.0-lp156.2.1.src.rpm
|
| Size : 0.05 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Inverse Probability Weighted Cox Model with Corrected Sandwich Variance
|
Description :
An implementation of corrected sandwich variance (CSV) estimation
method for making inference of marginal hazard ratios (HR) in inverse
probability weighted (IPW) Cox model without and with clustered data,
proposed by Shu, Young, Toh, and Wang (2019) in their paper under
revision for Biometrics. Both conventional inverse probability weights
and stabilized weights are implemented. Logistic regression model is
assumed for propensity score model.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
