create_prior

Used during <code>run_mab_trial()</code> to create a vector of prior periods dynamically based on the specified
number of prior periods.

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

create_prior function

<dl><dt>prior_periods</dt>
<dd>A numeric value of length 1, or the character string "All"; number of previous periods to use
in the treatment assignment model. This is used to implement the stationary/non-stationary bandit.
For example, a non-stationary bandit assumes the true probability of success for each treatment changes over time, so to
account for that, not all prior data should be used when making decisions because it could be "out of date".</dd>
<dt>current_period</dt>
<dd>The current period of the simulation. Defined by loop structure inside <code>run_mab_trial()</code>.</dd></dl>

Arguments

Create Prior Periods — create_prior

<dl>

<dt>prior_periods</dt>
<dd>A numeric value of length 1, or the character string "All"; number of previous periods to use
in the treatment assignment model. This is used to implement the stationary/non-stationary bandit.
For example, a non-stationary bandit assumes the true probability of success for each treatment changes over time, so to
account for that, not all prior data should be used when making decisions because it could be "out of date".</dd>


<dt>current_period</dt>
<dd>The current period of the simulation. Defined by loop structure inside <code>run_mab_trial()</code>.</dd>

</dl>

create_prior: Create Prior Periods

Description

Usage

Value

Arguments

See Also