get_p_values_new

Computes the p values based on the noncentrality parameters delta and lambda for the doubly noncentral t-distribution

This tool enables the user to choose a randomization procedure
based on sound scientific criteria. It comprises the generation of
randomization sequences as well the assessment of randomization procedures
based on carefully selected criteria. Furthermore, 'randomizeR' provides a
function for the comparison of randomization procedures.

Ralf-Dieter Hilgers

randomizeR

Randomization for Clinical Trials

David Schindler

Diane Uschner

Denis Razsolkov

Dimitar Mihaylov

Marcia Viviane Rueckbeil

Martin Manolov

Thi Mui Pham

Michael Martini

Nicole Heussen

get_p_values_new function

<dl><dt>delta</dt>
<dd>The first noncentrality parameter</dd>
<dt>lambda</dt>
<dd>The second noncentrality parameter</dd>
<dt>N</dt>
<dd>the amount of patients in the trial</dd>
<dt>alpha</dt>
<dd>significance level</dd>
<dt>df</dt>
<dd>degrees of freedom</dd></dl>

Arguments

Calculating p values — get_p_values_new

<dl>

<dt>delta</dt>
<dd>The first noncentrality parameter</dd>


<dt>lambda</dt>
<dd>The second noncentrality parameter</dd>


<dt>N</dt>
<dd>the amount of patients in the trial</dd>


<dt>alpha</dt>
<dd>significance level</dd>


<dt>df</dt>
<dd>degrees of freedom</dd>

</dl>

Calculating p values

get_p_values_new: Calculating p values

Description

Usage

Value

Arguments