Economía de la Salud


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AES ECONSALUD <[log in para visualizar]>
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Economía de la Salud <[log in para visualizar]>
Tue, 16 Mar 2021 19:36:19 +0100
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We are seeking abstracts for the R for Health Technology Assessment (HTA) workshop that will be held on Thursday & Friday 1st & 2nd July 2021. Our call for abstracts is broad and relates to no specific topic area. The overall goal is to present interesting and enlightening presentations on the use of R that will engage an audience of those working in the field of health technology assessment and related analysis. While the call is broad, the following considerations will help guide abstract preparation.

We are inviting submissions aimed at an audience with a broad range of expertise with R. Abstracts aimed at beginners are welcome and should be accessible and offer teaching insights. Abstracts for more advanced R users are also invited and can be technically ambitious and presume a knowledge of R and HTA modelling methods. Naturally, more advanced presentations should still attempt to convey broad principles alongside technical detail in order to remain relevant for less expert attendees. Please clearly indicate in your abstract if your submission is aimed at more or less experienced R users.

We welcome any topic you consider interesting and worth sharing. We suggest keeping the scope of the presentation sufficiently narrow to permit a meaningful exposition of a method, use of code or output presentation. Abstracts exemplifying the application of particular packages (not necessarily your own) are welcome. We also welcome the presentations on problems that analysts have encountered and are seeking to prompt discussion on possible solutions. Such problem-related abstracts should address a clearly-defined issue and outline some candidate approaches in order to frame the discussion. We also welcome abstracts related to the practicalities of R modelling, such as cluster or cloud implementation, handling of large datasets and runtime or variance reduction. Submissions may relate to applied analyses or methods research. Similarly, they may relate to simulation modelling or data analysis. Please clearly indicate which best corresponds to your submission in your abstract. 

Abstracts should be 300 words or less excluding title and author information. Structured abstracts are encouraged using the format: background; analysis; discussion. Include all co-author name and institutional affiliations. 

The deadline for submission is May 1st and submissions should be made through this online form: