Sample size using mean squared error (MSE)

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

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

Kyun-Seop Bae <k@acr.kr>

Examples

ssmse(0.06)
#> [1] 11
#> attr(,"Power")
#> [1] 0.8069361