dot-normalize_internal_distribution: Calculate the power across all comparators
In SimTOST: Sample Size Estimation for Bio-Equivalence Trials Through Simulation

.normalize_internal_distribution

R Documentation

Calculate the power across all comparators

Description

Internal function to calculate the power across all comparators

Usage

.normalize_internal_distribution(param.d)

Arguments

param.d

design parameters

Value

power calculated from a global list of comparators

SimTOST documentation built on Oct. 9, 2026, 5:07 p.m.

SimTOST index

README.md A Step-by-Step Simulation Validation Workflow Bioequivalence Tests for 2x2 Cross-Over Trial Designs with Log-Normal Data Bioequivalence Tests for Parallel Trial Designs: 2 Arms, 1 Endpoint Bioequivalence Tests for Parallel Trial Designs: 2 Arms, 3 Endpoints Bioequivalence Tests for Parallel Trial Designs: 3 Arms, 1 Endpoint Bioequivalence Tests for Parallel Trial Designs: 3 Arms, 3 Endpoints Bioequivalence Tests for Parallel Trial Designs with Log-Normal Data Count-Outcome Equivalence: Parallel Design with 3 Arms and 3 Endpoints Count Outcomes Introduction Methodological Assumptions in SimTOST

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