extract_operating_characteristics

Converts boinet simulation results into a tidy data frame suitable for
analysis and reporting.

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

extract_operating_characteristics function

<dl><dt>boinet_result</dt>
<dd>Result object from boinet functions (tite.boinet,
tite.gboinet, boinet, gboinet)</dd></dl>

Arguments

Extract Operating Characteristics in Tidy Format — extract_operating_characteristics

<dl>

<dt>boinet_result</dt>
<dd>Result object from boinet functions (tite.boinet,
tite.gboinet, boinet, gboinet)</dd>

</dl>

extract_operating_characteristics: Extract Operating Characteristics in Tidy Format

Description

Usage

Value

Arguments