QUANTIFY RESEARCH is a global partner to the pharmaceutical industry in close partnership with academia, patients, public institutions & clinical experts.

Press

27Apr 2018

Useful Health Economics links, including blogs and resources (updated April 2018)

We have compiled a list of useful blogs and resources, which may help you stay on top of the evolving world of health economics and outcomes research. It’s by no means a complete list, we will be adding interesting new sites continuously. We hope you find this helpful.

Blogs:

https://aheblog.com/ – Blog with several contributors covering many aspects of health economics, including weekly journal update.

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18Apr 2018

Up, up, and away – economic models in the cloud

Having an Excel health economic model with a user-friendly interface and nice result charts is all well and good but how do you implement structural changes to it and deploy it to the members of your team? And while communicating results, how do you interactively take into account changes to any of the model’s inputs such as age, risk of adverse events, or efficacy?

At Quantify, we can provide a […]

17Apr 2018

Quantify at WCO-IOF-ESCEO 2018

Quantify will be represented at this year’s WCO-IOF-ESCEO congress (the World Congress on Osteoporosis, Osteoarthritis and Musculoskeletal Diseases) by Fredrik Borgström and Gustaf Ortsäter. The posters “Prior Fracture Cascade and Incidence of Imminent Fracture After Fragility Fracture in a Swedish Database Study”, co-authored by Quantify’s Jonas Banefelt and Gustaf Ortsäter, and “Long-Term Cost-Effectiveness of Screening for Fracture Risk in a UK Primary Care Setting”, co-authored […]

28Mar 2018

The two V’s of model quality control: Validation and verification

In the world of market access, a large amount of resources go into engineering all-singing, all-dancing global models with a clean look and friendly user interface while simultaneously providing value to local affiliates. Although this feat is certainly an accomplishment, it is important to remember the importance of model quality control (QC). This activity is a core component of model development and reduces the risk of errors that can […]