pow2x2mse

It calculates power for the bioequivalence test on ratio using mean squared error (MSE of previous 2x2 study.

Power

Analyze bioequivalence study data with industrial strength. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design.
Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).

Kyun-Seop Bae

Bioequivalence Study Data Analysis

pow2x2mse function

<dl> <dt>n1</dt>
<dd>Subject count of group 1</dd> <dt>n2</dt>
<dd>Subject count of group 2</dd>
 
 <dt>mse</dt>
<dd>Mean squared error</dd> <dt>True.R</dt>
<dd>True ratio of test/reference</dd> <dt>Alpha</dt>
<dd>Alpha level. This means (1 - alpha/2)*100 % confidence interval is given</dd> <dt>ThetaL</dt>
<dd>Lower limit of equivalence criteria</dd> <dt>ThetaU</dt>
<dd>Upper limit of equivalence criteria</dd>
 
</dl>

Arguments

Author

Power using mean squared error (MSE) of previous 2x2 study — pow2x2mse

<dl>

 <dt>n1</dt>
<dd>Subject count of group 1</dd>

 <dt>n2</dt>
<dd>Subject count of group 2</dd>
 
 <dt>mse</dt>
<dd>Mean squared error</dd>

 <dt>True.R</dt>
<dd>True ratio of test/reference</dd>

 <dt>Alpha</dt>
<dd>Alpha level. This means (1 - alpha/2)*100 % confidence interval is given</dd>

 <dt>ThetaL</dt>
<dd>Lower limit of equivalence criteria</dd>

 <dt>ThetaU</dt>
<dd>Upper limit of equivalence criteria</dd>
 
</dl>

pow2x2mse: Power using mean squared error (MSE) of previous 2x2 study

Description

Usage

Value

Arguments

Author

Details

Examples