summary.gboinet

Summary method for gboinet objects

Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I/II trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.

Yusuke Yamaguchi

boinet

Conduct Simulation Study of Bayesian Optimal Interval Design
with BOIN-ET Family

Kentaro Takeda

summary.gboinet function

<dl><dt>object</dt>
<dd>A gboinet result object</dd>
<dt>...</dt>
<dd>Additional arguments (currently unused)</dd></dl>

Arguments

Summary method for gboinet objects — summary.gboinet

<dl>

<dt>object</dt>
<dd>A gboinet result object</dd>


<dt>...</dt>
<dd>Additional arguments (currently unused)</dd>

</dl>

summary.gboinet: Summary method for gboinet objects

Description

Usage

Value

Arguments