Smoking: Data set for the Bayesian model for the cost-effectiveness of...
In BCEA: Bayesian Cost Effectiveness Analysis
Smoking R Documentation
Data set for the Bayesian model for the cost-effectiveness of smoking
cessation interventions
Description
This data set contains the results of the Bayesian analysis used to model
the clinical output and the costs associated with the health economic
evaluation of four different smoking cessation interventions.
Format
A data list including the variables needed for the smoking cessation
cost-effectiveness analysis. The variables are as follows:
- list("cost")
a matrix of 500 simulations from the posterior distribution
of the overall costs associated with the four strategies
- list("data")
a dataset containing the characteristics of the smokers
in the UK population
- list("eff")
a matrix of 500 simulations from the
posterior distribution of the clinical benefits associated with the four
strategies
- list("life.years")
a matrix of 500 simulations from the
posterior distribution of the life years gained with each strategy
- list("pi_post")
a matrix of 500 simulations from the posterior
distribution of the event of smoking cessation with each strategy
- list("smoking")
a data frame containing the inputs needed for the
network meta-analysis model. The data.frame object contains:
nobs: the record ID number, s: the study ID number, i:
the intervention ID number, r_i: the number of patients who quit
smoking, n_i: the total number of patients for the row-specific arm
and b_i: the reference intervention for each study
- list("smoking_mat")
a matrix obtained by running the network
meta-analysis model based on the data contained in the smoking object
- list("treats")
a vector of labels associated with the four strategies
Source
Effectiveness data adapted from Hasselblad V. (1998). Meta-analysis
of Multitreatment Studies. Medical Decision Making 1998;18:37-43.
Cost and population characteristics data adapted from various sources:
Taylor, D.H. Jr, et al. (2002). Benefits of smoking
cessation on longevity. American Journal of Public Health 2002;92(6)
ASH: Action on Smoking and Health (2013). ASH fact sheet on smoking
statistics,
https://ash.org.uk/files/documents/ASH_106.pdf
Flack, S., et al. (2007). Cost-effectiveness of interventions for smoking
cessation. York Health Economics Consortium, January 2007
McGhan, W.F.D., and Smith, M. (1996). Pharmacoeconomic analysis of
smoking-cessation interventions. American Journal of Health-System Pharmacy
1996;53:45-52
References
Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London
BCEA documentation built on June 22, 2024, 11:08 a.m.
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| Smoking | R Documentation |
Data set for the Bayesian model for the cost-effectiveness of smoking cessation interventions
Description
This data set contains the results of the Bayesian analysis used to model the clinical output and the costs associated with the health economic evaluation of four different smoking cessation interventions.
Format
A data list including the variables needed for the smoking cessation cost-effectiveness analysis. The variables are as follows:
- list("cost")
a matrix of 500 simulations from the posterior distribution of the overall costs associated with the four strategies
- list("data")
a dataset containing the characteristics of the smokers in the UK population
- list("eff")
a matrix of 500 simulations from the posterior distribution of the clinical benefits associated with the four strategies
- list("life.years")
a matrix of 500 simulations from the posterior distribution of the life years gained with each strategy
- list("pi_post")
a matrix of 500 simulations from the posterior distribution of the event of smoking cessation with each strategy
- list("smoking")
a data frame containing the inputs needed for the network meta-analysis model. The
data.frameobject contains:nobs: the record ID number,s: the study ID number,i: the intervention ID number,r_i: the number of patients who quit smoking,n_i: the total number of patients for the row-specific arm andb_i: the reference intervention for each study- list("smoking_mat")
a matrix obtained by running the network meta-analysis model based on the data contained in the
smokingobject- list("treats")
a vector of labels associated with the four strategies
Source
Effectiveness data adapted from Hasselblad V. (1998). Meta-analysis of Multitreatment Studies. Medical Decision Making 1998;18:37-43. Cost and population characteristics data adapted from various sources:
Taylor, D.H. Jr, et al. (2002). Benefits of smoking cessation on longevity. American Journal of Public Health 2002;92(6)
ASH: Action on Smoking and Health (2013). ASH fact sheet on smoking statistics,
https://ash.org.uk/files/documents/ASH_106.pdfFlack, S., et al. (2007). Cost-effectiveness of interventions for smoking cessation. York Health Economics Consortium, January 2007
McGhan, W.F.D., and Smith, M. (1996). Pharmacoeconomic analysis of smoking-cessation interventions. American Journal of Health-System Pharmacy 1996;53:45-52
References
Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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