SimTOST: Sample Size Estimation for Bio-Equivalence Trials Through Simulation

Sample size estimation for bio-equivalence trials is supported through a simulation-based approach that extends the Two One-Sided Tests (TOST) procedure. The methodology provides flexibility in hypothesis testing, accommodates multiple treatment comparisons, and accounts for correlated endpoints. Users can model complex trial scenarios, including parallel and crossover designs, intra-subject variability, and different equivalence margins. Monte Carlo simulations enable accurate estimation of power and type I error rates, ensuring well-calibrated study designs. The statistical framework builds on established methods for equivalence testing and multiple hypothesis testing in bio-equivalence studies, as described in Schuirmann (1987) <doi:10.1007/BF01068419>, Mielke et al. (2018) <doi:10.1080/19466315.2017.1371071>, Shieh (2022) <doi:10.1371/journal.pone.0269128>, and Sozu et al. (2015) <doi:10.1007/978-3-319-22005-5>. Comprehensive documentation and vignettes guide users through implementation and interpretation of results.

Version:	1.0.2
Imports:	MASS, Rcpp (≥ 1.0.13), data.table, matrixcalc, parallel
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	PowerTOST, ggplot2, kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0), tibble, tinytest
Published:	2025-02-18
DOI:	10.32614/CRAN.package.SimTOST
Author:	Thomas Debray [aut, cre], Johanna Munoz [aut], Dewi Amaliah [ctb], Wei Wei [ctb], Marian Mitroiu [ctb], Scott McDonald [ctb], Biogen Inc [cph, fnd]
Maintainer:	Thomas Debray <tdebray at fromdatatowisdom.com>
License:	Apache License (≥ 2)
URL:	https://smartdata-analysis-and-statistics.github.io/SimTOST/
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	SimTOST results

Documentation:

Reference manual:

SimTOST.pdf

Vignettes:

Introduction (source, R code) Bioequivalence Tests for 2x2 Cross-Over Trial Designs with Log-Normal Data (source, R code) Bioequivalence Tests for Parallel Trial Designs with Log-Normal Data (source, R code) Bioequivalence Tests for Parallel Trial Designs: 2 Arms, 1 Endpoint (source, R code) Bioequivalence Tests for Parallel Trial Designs: 2 Arms, 3 Endpoints (source, R code) Bioequivalence Tests for Parallel Trial Designs: 3 Arms, 1 Endpoint (source, R code) Bioequivalence Tests for Parallel Trial Designs: 3 Arms, 3 Endpoints (source, R code)

Downloads:

Package source:	SimTOST_1.0.2.tar.gz
Windows binaries:	r-devel: SimTOST_1.0.2.zip, r-release: SimTOST_1.0.2.zip, r-oldrel: SimTOST_1.0.2.zip
macOS binaries:	r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): SimTOST_1.0.2.tgz, r-release (x86_64): SimTOST_1.0.2.tgz, r-oldrel (x86_64): SimTOST_1.0.2.tgz
Old sources:	SimTOST archive

Linking:

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