| Name : R-pssmooth
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.13.1
| Date : 2024-06-20 16:20:51
|
| Group : Development/Libraries/Other
| Source RPM : R-pssmooth-1.0.3-lp153.13.1.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers
|
Description :
Implements estimation and testing procedures for evaluating an
intermediate biomarker response as a principal surrogate of a clinical
response to treatment (i.e., principal stratification effect
modification analysis), as described in Juraska M, Huang Y, and Gilbert
PB (2020), Inference on treatment effect modification by biomarker
response in a three-phase sampling design, Biostatistics, 21(3):
545-560 < doi:10.1093/biostatistics/kxy074>. The methods avoid the
restrictive \'placebo structural risk\' modeling assumption common to
past methods and further improve robustness by the use of nonparametric
kernel smoothing for biomarker density estimation. A randomized
controlled two-group clinical efficacy trial is assumed with an ordered
categorical or continuous univariate biomarker response measured at a
fixed timepoint post-randomization and with a univariate baseline
surrogate measure allowed to be observed in only a subset of trial
participants with an observed biomarker response (see the flexible
three-phase sampling design in the paper for details). Bootstrap-based
procedures are available for pointwise and simultaneous confidence
intervals and testing of four relevant hypotheses. Summary and plotting
functions are provided for estimation results.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
