summarise_trial_trace

Creates a compact one-row summary of the final interim look and
stopping decision. Pass a <code>goldilocks_trial</code> object to include final
analysis information, or pass its <code>trace</code> element to summarize the path
only.

Implements Goldilocks adaptive trial designs for time-to-event and
fixed-time binary endpoints. Outcomes are generated with a piecewise
exponential model, with conjugate Gamma priors used for predictive
imputation. Final analyses may use log-rank, Cox, or restricted mean
survival time tests, Bayesian piecewise-exponential inference, frequentist
risk differences, or Bayesian beta-binomial inference. The method closely
follows Broglio and colleagues (2014)
<doi:10.1080/10543406.2014.888569> and supports simulation of design
operating characteristics.

Hickey Graeme L.

goldilocks

Adaptive Trial Designs for Survival and Binary Endpoints

Graeme L. Hickey

Ying Wan

Thevaa Chandereng

Becton, Dickinson and Company 

Tim Kacprowski

summarise_trial_trace function

<dl><dt>x</dt>
<dd>A required <code>goldilocks_trial</code> result from <code>survival_adapt()</code>, a
<code>goldilocks_interim</code> result from <code>evaluate_interim()</code>, or an interim trace
data frame.</dd></dl>

Arguments

Summarize an interim decision path — summarise_trial_trace

<dl>

<dt>x</dt>
<dd>A required <code>goldilocks_trial</code> result from <code>survival_adapt()</code>, a
<code>goldilocks_interim</code> result from <code>evaluate_interim()</code>, or an interim trace
data frame.</dd>

</dl>

summarise_trial_trace: Summarize an interim decision path

Description

Usage

Value

Arguments