PowerTOST v1.4-7

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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 and/or uncertain theta0. ----- 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 and/or uncertain theta0. ----- Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits (EMA recommended) based on simulations. Contains also functions scABEL.ad() and sampleN.scABEL.ad() to iteratively adjust alpha in order to maintain the overall consumer risk in ABEL studies and adapt the sample size for the loss in power. 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 further functions power.HVNTID() and sampleN.HVNTID() to calculate power and sample size for the BE decision via the FDA procedure for highly variable NTID's (see FDA Dabigatran / rivaroxaban guidances) ----- 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 / sample size estimation for dose proportionality studies using the Power model.

Functions in PowerTOST

Name Description
power.HVNTID (Empirical) Power for BE decision via FDA method for highly variable NTIDs
exppower.noninf Expected power of the non-inferiority test
power.2TOST Power for two simultaneous TOST procedures
power.RSABE2L.sdsims (Empirical) Power of BE Decision via Reference Scaled ABE
power.RatioF Power for equivalence of the ratio of two means with normality on original scale
expsampleN.TOST Sample size based on expected power
bib.CL Design matrices of period balanced incomplete block designs
power.scABEL (Empirical) Power of BE decision via scaled (widened) BE acceptance limits
power.scABEL.sdsims (Empirical) Power of BE decision via scaled (widened) BE acceptance limits
sampleN.scABEL.ad Sample size estimation for ABEL and iteratively adjusted alpha
sampleN.scABEL Sample size estimation for BE decision via scaled (widened) BE acceptance limits
known.designs Show the 'known' designs
expsampleN.noninf Sample size based on expected power for the non-inferiority test
pa.ABE Power analysis for average bioequivalence (ABE)
ct9.6.4+ct9.6.8 Sample Size Tables for the 2x4x4 Replicate Crossover Design
power.dp Power of dose-proportionality studies evaluated via Power model
power.noninf Power of the one-sided non-inferiority t-test
ctSJ.VIII.10+ctSJ.VIII.20+ctCW.III Sample Size Tables for the Parallel Group Design
power.NTIDFDA (Empirical) Power for BE decision via FDA method for NTIDs
scABEL Scaled (widened) BE Acceptance Limits
scABEL.ad Iteratively adjusted alpha for ABEL
type1error.2TOST Type I error rate for two simultaneous TOST procedures
pvalue.TOST p-value(s) of the TOST procedure
reg_const Constructor of an object with class 'regSet' containing the regulatory settings for ABEL
power.RSABE (Empirical) Power for BE decision via linearized scaled ABE criterion
sampleN.dp Sample size estimation of dose-proportionality studies evaluated via Power model
sampleN.noninf Sample size for the non-inferiority t-test
pa.NTIDFDA Power analysis for scaled ABE for NTIDs according to FDA
pa.scABE Power analysis for scaled average bioequivalence (scABE)
power.TOST Power of the classical TOST procedure
power.TOST.sim Power of the TOST procedure obtained via simulations
sampleN.HVNTID Sample size estimation for BE decision via FDA method for highly variable (HV) narrow therapeutic index drugs (NTIDs)
sampleN.2TOST Sample size based on power of two TOSTs
sampleN.TOST Sample size based on power of TOST
sampleN.RatioF Sample size for equivalence of the ratio of two means with normality on original scale
sampleN.NTIDFDA Sample size estimation for BE decision via FDA method for narrow therapeutic index drugs (NTIDs)
sampleN.RSABE Sample size estimation for BE decision via linearized scaled ABE criterion
CI.BE 1--2*alpha confidence interval given point estimate, CV, and n
CVp2CV Decompose CV(T) and CV(R) from 'pooled' CV of T/R
CV2se+se2CV+CV2mse+mse2CV Helper functions
CVCL Confidence limits of a CV for log-normal data
CI.RatioF 1--2*alpha Fieller CI given point est., CV (,CVb) and n
OwensQOwen Owen's Q-function via repeated integration by parts
OwensQ Owen's Q-function
CVpooled Pooled CV from several studies
CVfromCI CV from a given Confidence interval
CVwRfromU CVwR from the upper expanded limit (ABEL)
OwensT Owen's T-function
exppower.TOST Expected power of the TOST procedure
ct9.6.2+ct9.6.6 Sample Size Tables for the 2x2x3 Replicate Crossover Design
ct5.1+ct5.2+ct5.3+ct5.4.1 Sample Size Tables for the Classical 2x2 Crossover Design
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Type Package
Date 2018-04-12
ByteCompile yes
LazyData true
URL http://github.com/Detlew/PowerTOST
BugReports http://github.com/Detlew/PowerTOST/issues
License GPL (>= 2)
NeedsCompilation no
Packaged 2018-04-12 19:09:40 UTC; Detlew
Repository CRAN
Date/Publication 2018-04-12 19:43:08 UTC

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