ssmse: Sample size using mean squared error (MSE)

In BE: Bioequivalence Study Data Analysis

Sample size using mean squared error (MSE)

Description

It calculates sample size for the bioequivalence test on ratio using mean squared error (MSE).

Usage

ssmse(mse, DesignNo = 1, True.R = 1, Alpha = 0.1, Beta = 0.2, 
      ThetaL = 0.8, ThetaU = 1.25, nMax = 999999)

Arguments

mse	Mean squared error
DesignNo	Crossover design number. Design Number (treatment x sequence x period) 1 2x2x2 : RT TR 2 2x4x2 (Balaam Design) : TT RR RT TR 3 2x2x3 (Two-sequence Dual Design): TRR RTT 4 2x2x4 : TRRT RTTR 5 2x4x4 : TTRR RRTT TRRT RTTR 6 3x6x3 (William Design for 3 treatments) + carry-over effect : RBA ARB BAR ABR BRA RAB 7 3x6x3 (William Design for 3 treatments) - carry-over effect : RBA ARB BAR ABR BRA RAB 8 4x4x4 (William Design for 4 treatments) + carry-over effect : RCAB ARBC BACR CBRA 9 4x4x4 (William Design for 4 treatments) - carry-over effect : RCAB ARBC BACR CBRA
True.R	True ratio of test/reference
Alpha	Alpha error level
Beta	Beta error level
ThetaL	Lower limit of equivalence criteria
ThetaU	Upper limit of equivalence criteria
nMax	Maximum subject number (sample size) per group

Details

It calculates sample size (n per group) with mse, Alpha, and Beta for bioequivalence test.

Value

Returns sample size (n per group) for bioequivalence test with ratio criteria.

Author(s)

Kyun-Seop Bae <[e-mail]>

Examples

ssmse(0.06)

BE documentation built on Jan. 7, 2023, 1:11 a.m.