get_cum_probs_1exp

Get cumulative probabilities from distribution of chips of one expert

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

get_cum_probs_1exp function

<dl><dt>chips</dt>
<dd>Vector of integers, representing the distribution of chips assigned by one expert, as elicited through the roulette method.
Each element of the vector represents one bin in the grid.</dd></dl>

Arguments

Get cumulative probabilities from distribution of chips of one expert — get_cum_probs_1exp

<dl>

<dt>chips</dt>
<dd>Vector of integers, representing the distribution of chips assigned by one expert, as elicited through the roulette method.
Each element of the vector represents one bin in the grid.</dd>

</dl>

get_cum_probs_1exp: Get cumulative probabilities from distribution of chips of one expert

Description

Usage

Value

Arguments

See Also

Examples