Smoking

cost

data

life.years

pi_post

smoking

smoking_output

treats

This data set contains the results of a Bayesian analysis modeling the
clinical outputs and costs for an economic evaluation of four different
smoking cessation interventions.

datasets

Produces an economic evaluation of a sample of suitable variables of
cost and effectiveness / utility for two or more interventions,
e.g. from a Bayesian model in the form of MCMC simulations.
This package computes the most cost-effective alternative and
produces graphical summaries and probabilistic sensitivity analysis,
see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.

Gianluca Baio

BCEA

Bayesian Cost Effectiveness Analysis

Andrea Berardi

Anna Heath

Nathan Green

Smoking function

A list containing the variables for the cost-effectiveness analysis:<dl>
<dt>cost</dt>
<dd>A matrix of 500 simulations from the posterior distribution
of the overall costs for the four strategies.</dd><dt>data</dt>
<dd>A dataset with characteristics of smokers in the UK population.</dd><dt>eff</dt>
<dd>A matrix of 500 simulations from the posterior distribution of
the clinical benefits for the four strategies.</dd><dt>life.years</dt>
<dd>A matrix of 500 simulations from the posterior
distribution of the life years gained with each strategy.</dd><dt>pi_post</dt>
<dd>A matrix of 500 simulations from the posterior
distribution of the probability of smoking cessation with each strategy.</dd><dt>smoking</dt>
<dd>A data frame with inputs for the network meta-analysis,
containing: <code>nobs</code> (record ID), <code>s</code> (study ID), <code>i</code>
(intervention ID), <code>r_i</code> (number of patients who quit),
<code>n_i</code> (total patients in arm), and <code>b_i</code> (reference
intervention for the study).</dd><dt>smoking_output</dt>
<dd>A matrix of results from the network meta-analysis model
run on the <code>smoking</code> object.</dd><dt>treats</dt>
<dd>A character vector of labels for the four strategies.</dd>
</dl>

Format

Smoking Cessation Cost-Effectiveness Data — Smoking

A list containing the variables for the cost-effectiveness analysis:<dl>
<dt>cost</dt>
<dd>A matrix of 500 simulations from the posterior distribution
of the overall costs for the four strategies.</dd>

<dt>data</dt>
<dd>A dataset with characteristics of smokers in the UK population.</dd>

<dt>eff</dt>
<dd>A matrix of 500 simulations from the posterior distribution of
the clinical benefits for the four strategies.</dd>

<dt>life.years</dt>
<dd>A matrix of 500 simulations from the posterior
distribution of the life years gained with each strategy.</dd>

<dt>pi_post</dt>
<dd>A matrix of 500 simulations from the posterior
distribution of the probability of smoking cessation with each strategy.</dd>

<dt>smoking</dt>
<dd>A data frame with inputs for the network meta-analysis,
containing: <code>nobs</code> (record ID), <code>s</code> (study ID), <code>i</code>
(intervention ID), <code>r_i</code> (number of patients who quit),
<code>n_i</code> (total patients in arm), and <code>b_i</code> (reference
intervention for the study).</dd>

<dt>smoking_output</dt>
<dd>A matrix of results from the network meta-analysis model
run on the <code>smoking</code> object.</dd>

<dt>treats</dt>
<dd>A character vector of labels for the four strategies.</dd>


</dl>

Smoking Cessation Cost-Effectiveness Data

Smoking: Smoking Cessation Cost-Effectiveness Data

Description

Arguments

Format

References