print.gboinet

Display key summary results from <code>gboinet</code>.

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

print.gboinet function

<dl><dt>x</dt>
<dd>Object from <code>gboinet</code>.</dd>
<dt>...</dt>
<dd>More options to pass to print.</dd></dl>

Arguments

Print gboinet — print.gboinet

<dl>

<dt>x</dt>
<dd>Object from <code>gboinet</code>.</dd>


<dt>...</dt>
<dd>More options to pass to print.</dd>

</dl>

print.gboinet: Print gboinet

Description

Usage

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Arguments

See Also