Smoking {BCEA}R Documentation

Smoking Cessation Cost-Effectiveness Data

Description

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.

Format

A list containing the variables for the cost-effectiveness analysis:

cost

A matrix of 500 simulations from the posterior distribution of the overall costs for the four strategies.

data

A dataset with characteristics of smokers in the UK population.

eff

A matrix of 500 simulations from the posterior distribution of the clinical benefits for the four strategies.

life.years

A matrix of 500 simulations from the posterior distribution of the life years gained with each strategy.

pi_post

A matrix of 500 simulations from the posterior distribution of the probability of smoking cessation with each strategy.

smoking

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

smoking_output

A matrix of results from the network meta-analysis model run on the smoking object.

treats

A character vector of labels for the four strategies.

Source

Effectiveness data adapted from Hasselblad V. (1998). "Meta-analysis of Multitreatment Studies". Medical Decision Making, 18:37-43.

Cost and population data adapted from various sources:

References

Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman & Hall, London.


[Package BCEA version 2.4.81 Index]