ci2mse

It calculates mean squared error (MSE) from a confidence interval of previous 2x2 study.

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

ci2mse function

<dl> <dt>n1</dt>
<dd>Subject count of group 1</dd> <dt>n2</dt>
<dd>Subject count of group 2</dd>
 
 <dt>LL</dt>
<dd>Lower limit of the confidence interval of geometric mean ratio (Test/Reference)</dd> <dt>UL</dt>
<dd>Upper limit of the confidence interval of geometric mean ratio (Test/Reference)</dd> <dt>Alpha</dt>
<dd>Alpha level. This means (1 - alpha/2)*100 % confidence interval is given</dd></dl>

Arguments

Author

Mean squared error (MSE) from a confidence interval of previous 2x2 study — ci2mse

<dl>

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

 <dt>n2</dt>
<dd>Subject count of group 2</dd>
 
 <dt>LL</dt>
<dd>Lower limit of the confidence interval of geometric mean ratio (Test/Reference)</dd>

 <dt>UL</dt>
<dd>Upper limit of the confidence interval of geometric mean ratio (Test/Reference)</dd>

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

</dl>

ci2mse: Mean squared error (MSE) from a confidence interval of previous 2x2 study

Description

Usage

Value

Arguments

Author

Details

Examples