Incorporating patients' characteristics in cost-effectiveness studies with clinical trial data: a flexible Bayesian approach.

Vázquez Polo, Francisco José, and Negrín Hernández, Miguel Angel. "Incorporating patients' characteristics in cost-effectiveness studies with clinical trial data: a flexible Bayesian approach.." SORT 28.1 (2004): 87-108. <http://eudml.org/doc/40454>.

@article{VázquezPolo2004,
abstract = {Most published research on the comparison between medical treatment options merely compares the results (effectiveness and cost) obtained for each treatment group. The present work proposes the incorporation of other patient characteristics into the analysis. Most of the studies carried out in this context assume normality of both costs and effectiveness. In practice, however, the data are not always distributed according to this assumption. Alternative models have to be developed.In this paper, we present a general model of cost-effectiveness, incorporating both binary effectiveness and skewed cost. In a practical application, we compare two highly active antiretroviral treatments applied to asymptomatic HIV patients.We propose a logit model when the effectiveness is measured depending on whether an initial purpose is achieved. For this model, the measure to compare treatments is the difference in the probability of success. Besides, the cost data usually present a right skewing. We propose the use of the log-transformation to carry out the regression model. The three models are fitted demonstrating the advantages of this modelling. The cost-effectiveness acceptability curve is used as a measure for decision-making.},
author = {Vázquez Polo, Francisco José, Negrín Hernández, Miguel Angel},
journal = {SORT},
keywords = {Inferencia paramétrica; Análisis bayesiano; Regresión lineal; Bioestadística; Ensayo clínico; Bayesian analysis; cost-effectiveness; Markov chain Monte Carlo; skewed cost distributions},
language = {eng},
number = {1},
pages = {87-108},
title = {Incorporating patients' characteristics in cost-effectiveness studies with clinical trial data: a flexible Bayesian approach.},
url = {http://eudml.org/doc/40454},
volume = {28},
year = {2004},
}

TY - JOUR
AU - Vázquez Polo, Francisco José
AU - Negrín Hernández, Miguel Angel
TI - Incorporating patients' characteristics in cost-effectiveness studies with clinical trial data: a flexible Bayesian approach.
JO - SORT
PY - 2004
VL - 28
IS - 1
SP - 87
EP - 108
AB - Most published research on the comparison between medical treatment options merely compares the results (effectiveness and cost) obtained for each treatment group. The present work proposes the incorporation of other patient characteristics into the analysis. Most of the studies carried out in this context assume normality of both costs and effectiveness. In practice, however, the data are not always distributed according to this assumption. Alternative models have to be developed.In this paper, we present a general model of cost-effectiveness, incorporating both binary effectiveness and skewed cost. In a practical application, we compare two highly active antiretroviral treatments applied to asymptomatic HIV patients.We propose a logit model when the effectiveness is measured depending on whether an initial purpose is achieved. For this model, the measure to compare treatments is the difference in the probability of success. Besides, the cost data usually present a right skewing. We propose the use of the log-transformation to carry out the regression model. The three models are fitted demonstrating the advantages of this modelling. The cost-effectiveness acceptability curve is used as a measure for decision-making.
LA - eng
KW - Inferencia paramétrica; Análisis bayesiano; Regresión lineal; Bioestadística; Ensayo clínico; Bayesian analysis; cost-effectiveness; Markov chain Monte Carlo; skewed cost distributions
UR - http://eudml.org/doc/40454
ER -