hodges

It performs Hodges-Lehmann estimation for 2x2 study. This is usually for Tmax variable.

statistical test

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

hodges function

<dl> <dt>bedata</dt>
<dd>Data table name. This should have at least the following columns and a variable column to be tested.<pre><code> 
 GRP : Group or Sequence, 'RT' or 'TR'
 PRD : Period, 1 or 2
 SUBJ : Subject ID
 TRT : Treatment or Drug, 'R' or 'T'
</code></pre></dd> <dt>Var</dt>
<dd>Variable to be estimated. This should be one of the column names in <code>bedata</code> table. Usually 'Tmax'</dd></dl>

Arguments

Author

Hodges-Lehmann estimation for a variable of a 2x2 study — hodges

<dl>

 <dt>bedata</dt>
<dd>Data table name. This should have at least the following columns and a variable column to be tested.<pre><code> 
 GRP : Group or Sequence, 'RT' or 'TR'
 PRD : Period, 1 or 2
 SUBJ : Subject ID
 TRT : Treatment or Drug, 'R' or 'T'
</code></pre></dd>

 <dt>Var</dt>
<dd>Variable to be estimated. This should be one of the column names in <code>bedata</code> table. Usually 'Tmax'</dd>

</dl>

hodges: Hodges-Lehmann estimation for a variable of a 2x2 study

Description

Usage

Value

Arguments

Author

Details

Examples