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pssmooth
View on CRAN: Click
here
Download and install pssmooth package within the R console
Install from CRAN:
install.packages("pssmooth")
Install from Github:
library("remotes")
install_github("cran/pssmooth") Install by package version:
library("remotes")
install_version("pssmooth", "1.0.3") Attach the package and use:
library("pssmooth")
Maintained by
Michal Juraska
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-30
Latest Update: 2020-11-18
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 . 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.
How to cite:
Michal Juraska (2018). pssmooth: Flexible and Efficient Evaluation of Principal Surrogates/Treatment Effect Modifiers. R package version 1.0.3, https://cran.r-project.org/web/packages/pssmooth. Accessed 26 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for pssmooth
Functions, R codes and Examples using
the pssmooth R package
Some associated functions: bootRiskCurve . plotMCEPcurve . riskCurve . summary.riskCurve . testConstancy . testEquality .
Some associated R codes: pssmooth.R . Full pssmooth package functions and examples
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