Add to ORKGThe Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) evaluated the transparency of model input documentation from two published health economics studies and developed guidelines for improving transparency in the reporting of input data underlying model-based economic analyses in diabetes
The world leaders in glycemia modeling convened during the Eighth Annual Diabetes Technology Meeting...
OBJECTIVES: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes mo...
Objectives: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes mo...
The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) evaluated the t...
The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) evaluated the t...
Objectives: The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Objectives: The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Objectives: The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Objectives The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Computer simulation models are mathematical equations combined in a structured framework to represen...
Transparency in health economic decision modelling is important for engendering confidence in the mo...
Transparency in health economic decision modelling is important for engendering confidence in the mo...
AbstractObjectivesThe Mount Hood Challenge meetings provide a forum for computer modelers of diabete...
Transparency in health economic decision modelling is important for engendering confidence in the mo...
The world leaders in glycemia modeling convened during the Eighth Annual Diabetes Technology Meeting...
OBJECTIVES: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes mo...
Objectives: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes mo...
The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) evaluated the t...
The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) evaluated the t...
Objectives: The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Objectives: The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Objectives: The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Objectives The Eighth Mount Hood Challenge (held in St. Gallen, Switzerland, in September 2016) eva...
Computer simulation models are mathematical equations combined in a structured framework to represen...
Transparency in health economic decision modelling is important for engendering confidence in the mo...
Transparency in health economic decision modelling is important for engendering confidence in the mo...
AbstractObjectivesThe Mount Hood Challenge meetings provide a forum for computer modelers of diabete...
Transparency in health economic decision modelling is important for engendering confidence in the mo...
The world leaders in glycemia modeling convened during the Eighth Annual Diabetes Technology Meeting...
OBJECTIVES: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes mo...
Objectives: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes mo...