get_assignment_quantitites

get_assignment_quantities

Takes the output from <code>mab_simulation()</code>, and
calculates the number of observations assigned to each treatment group in the adaptive trial.

internal

Simulates the results of completed randomized controlled
trials, as if they had been conducted as adaptive Multi-Arm Bandit
(MAB) trials instead. Augmented inverse probability weighted
estimation (AIPW), outlined by Hadad et al. (2021)
<doi:10.1073/pnas.2014602118>, is used to robustly estimate the
probability of success for each treatment arm under the adaptive
design. Provides customization options to simulate perfect/imperfect
information, stationary/non-stationary bandits, blocked treatment
assignments, along with control augmentation, and other hybrid
strategies for assigning treatment arms. The methods used in
simulation were inspired by Offer-Westort et al. (2021)
<doi:10.1111/ajps.12597>.

Noah Ochital

whatifbandit

Analyzing Randomized Experiments as Multi-Arm Bandits

Ryan T. Moore

get_assignment_quantitites function

<dl><dt>simulation</dt>
<dd>Output from <code>mab_simulation()</code></dd>
<dt>conditions</dt>
<dd>Character vector containing the names of all the treatment conditions in the trial.</dd></dl>

Arguments

Calculates Number of Observations Assigned to Each Treatment — get_assignment_quantitites

<dl>

<dt>simulation</dt>
<dd>Output from <code>mab_simulation()</code></dd>


<dt>conditions</dt>
<dd>Character vector containing the names of all the treatment conditions in the trial.</dd>

</dl>

get_assignment_quantitites: Calculates Number of Observations Assigned to Each Treatment

Description

Usage

Value

Arguments