PowerTOST: Power and Sample size based on two one-sided t-tests (TOST) for (bio)equivalence studies

Contains functions to calculate power and sample size for various study designs used for bioequivalence studies. See function known.designs() for study designs covered. Moreover the package contains functions for power and sample size based on 'expected' power in case of uncertain (estimated) variability. —– Added are functions for the power and sample size for the ratio of two means with normally distributed data on the original scale (based on Fieller's confidence ('fiducial') interval). —– Contains further functions for power and sample size calculations based on non-inferiority t-test. This is not a TOST procedure but eventually useful if the question of 'non-superiority' must be evaluated. The power and sample size calculations based on non-inferiority test may also performed via 'expected' power in case of uncertain (estimated) variability. —– Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits based on simulations. Contains further functions power.RSABE() and sampleN.RSABE() to calculate power and sample size for the BE decision via reference scaled ABE criterion according to the FDA procedure based on simulations. Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate power and sample size for the BE decision via the FDA procedure for NTID's based on simulations. —– Contains functions for power analysis of a sample size plan for ABE (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing power if deviating from assumptions of the plan. —– Contains further functions for power calculations / samplesize estimation for dose proportionality studies using the Power model.

Version: 1.2-01
Depends: mvtnorm
Published: 2014-09-30
Author: Detlew Labes [aut, cre], Helmut Schuetz [aut]
Maintainer: Detlew Labes <DetlewLabes at gmx.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: ClinicalTrials
CRAN checks: PowerTOST results

Downloads:

Reference manual: PowerTOST.pdf
Package source: PowerTOST_1.2-01.tar.gz
Windows binaries: r-devel: PowerTOST_1.2-01.zip, r-release: PowerTOST_1.2-01.zip, r-oldrel: PowerTOST_1.1-13.zip
OS X Snow Leopard binaries: r-release: PowerTOST_1.2-01.tgz, r-oldrel: PowerTOST_1.1-13.tgz
OS X Mavericks binaries: r-release: PowerTOST_1.2-01.tgz
Old sources: PowerTOST archive

Reverse dependencies:

Reverse depends: Power2Stage