create_new_trial_data

Creates a vector containing data on the new trial in the target population. This may be hypothetical data in the planning stage.

Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.

Christian Stock

tipmap

Tipping Point Analysis for Bayesian Dynamic Borrowing

Morten Dreher

Emma Torrini

 Boehringer Ingelheim Pharma GmbH & Co. KG

create_new_trial_data function

<dl><dt>n_total</dt>
<dd>The total sample size.</dd>
<dt>est</dt>
<dd>Treatment effect estimate.</dd>
<dt>se</dt>
<dd>Standard error of the treatment effect estimate.</dd></dl>

Arguments

Data on new trial in target population — create_new_trial_data

<dl>

<dt>n_total</dt>
<dd>The total sample size.</dd>


<dt>est</dt>
<dd>Treatment effect estimate.</dd>


<dt>se</dt>
<dd>Standard error of the treatment effect estimate.</dd>

</dl>

create_new_trial_data: Data on new trial in target population

Description

Usage

Value

Arguments

See Also

Examples