Package: pssmooth
Type: Package
Title: Flexible and Efficient Evaluation of Principal
        Surrogates/Treatment Effect Modifiers
Version: 1.0.3
Authors@R: person("Michal", "Juraska", email = "mjuraska@fredhutch.org", role = c("aut", "cre"))
BugReports: https://github.com/mjuraska/pssmooth/issues
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.
License: GPL-2
URL: https://github.com/mjuraska/pssmooth
Encoding: UTF-8
LazyData: true
Imports: graphics, stats, osDesign, np, chngpt, MASS
Suggests: knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-18 01:01:21 UTC; mjuraska
Author: Michal Juraska [aut, cre]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>
Repository: CRAN
Date/Publication: 2020-11-18 13:20:03 UTC
Built: R 4.6.0; ; 2026-04-26 09:37:52 UTC; unix
