R for trial and model-based cost-effectiveness analysis

Call for abstracts

We are seeking abstracts for our meeting on Thursday 1st and Friday 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. Please include all co-author name and institutional affiliations.




Code of conduct

As we’re experiencing a whole new season of human interaction, we thought we’d lay out some principles of civil behaviour that we ask you all to abide by. To avoid issues with privacy, while the workshops will be recorded, participants will be muted. There will be the possibility of asking questions and making comments through the Zoom chat and we’ll be happy to relay them to the speakers.

Please be kind and considerate when asking questions — we are working really hard to adapt to the new normal and we know something may not work perfectly!

Upon agreement with them, slides will also be made available and the recordings will be posted on our website — after consent is obtained by the speakers.

Gianluca Baio
Gianluca Baio
Professor of Statistics and Health Economics