The validation of health economic (HE) model outcomes against empirical data is of key importance. Although statistical testing seems applicable, guidelines for the validation of HE models lack guidance on statistical validation, and actual validation efforts often present subjective judgment of graphs and point estimates
In economic evaluation, mathematical models have a central role as a way of integrating all the rele...
Background: Modelers and reimbursement decision makers could both profit from a more systematic repo...
It is commonly suggested that there are two com-peting approaches to the economic evaluation of heal...
The validation of health economic (HE) model outcomes against empirical data is of key importance. A...
Background: The validation of health economic (HE) model outcomes against empirical data is of key i...
Objectives: To validate health economic (HE) models by means of statistical comparison of model outc...
Background: Modelers and reimbursement decision makers could both profit from a more systematic repo...
BACKGROUND: A trade-off exists between building confidence in health-economic (HE) decision models a...
Health economic decision models are based on specific assumptions relating to model structure and pa...
Health care decision makers in many jurisdictions use cost-effectiveness analysis based on health ec...
Objectives: We aimed to review recently published health-economic (HE) decision models to assess the...
In economic evaluation, mathematical models have a central role as a way of integrating all the rele...
Background: Modelers and reimbursement decision makers could both profit from a more systematic repo...
It is commonly suggested that there are two com-peting approaches to the economic evaluation of heal...
The validation of health economic (HE) model outcomes against empirical data is of key importance. A...
Background: The validation of health economic (HE) model outcomes against empirical data is of key i...
Objectives: To validate health economic (HE) models by means of statistical comparison of model outc...
Background: Modelers and reimbursement decision makers could both profit from a more systematic repo...
BACKGROUND: A trade-off exists between building confidence in health-economic (HE) decision models a...
Health economic decision models are based on specific assumptions relating to model structure and pa...
Health care decision makers in many jurisdictions use cost-effectiveness analysis based on health ec...
Objectives: We aimed to review recently published health-economic (HE) decision models to assess the...
In economic evaluation, mathematical models have a central role as a way of integrating all the rele...
Background: Modelers and reimbursement decision makers could both profit from a more systematic repo...
It is commonly suggested that there are two com-peting approaches to the economic evaluation of heal...