Workshop

R for HTA annual workshop

Next edition: 28 June - 02 July 2024. Check for updates!

R for trial and model-based cost-effectiveness analysis

We are excited to announce the R for Health Technology Assessment (HTA) workshop that will be held on Thursday 8th, Friday 9th, and Monday 12th June 2023. Friday 9th will be an in-person day-long, hybrid event hosted by at ARRC/Alan Maynard, University of York, while the other days will be online only. Our programme will be announced in April. 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.

R for trial and model-based cost-effectiveness analysis

We are excited to announce the R for Health Technology Assessment (HTA) workshop that will be held on Friday 28th June, Monday 1st July, and Tuesday 2nd July 2024. Friday 28th will be an in-person day-long, hybrid event hosted by at ScHARR, University of Sheffield, while the other days will be online only. Our program will be announced in May. 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.

R for trial and model-based cost-effectiveness analysis

We are excited to announce the R for Health Technology Assessment (HTA) workshop that will be held on Thursday 19th, Friday 20th, and Monday 23rd May 2022. Friday 20th will be an in-person day-long, hybrid event hosted by at St Anne’s College, University of Oxford, while other days will be online only. Our programme will be announced in April. 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.

R for trial and model-based cost-effectiveness analysis

We are pleased to announce the opening of registration for our 2021 online R for Health Technology Assessment (HTA) showcase taking place as two half-day remote workshops, on the following dates and times: Thursday 1st July 2021, 13:00-17:00 British Summer Time (BST); Friday 2nd July 2021, 9:00-13:00 British Summer Time. Registration for the workshop can be made at this webpage. Please note that we can only accept payments via credit card.

R for trial and model-based cost-effectiveness analysis

We are pleased to announce the opening of registration for our online R for Health Technology Assessment (HTA) showcase taking place as two half-day remote workshops, on the following dates and times: 9th October 2020, 13:00-17:00 British Summer Time (BST); 12th October, 9:00-13:00 British Summer Time. On both days, speakers from academia, government, industry, and consulting will give demonstrations of their R code solving specific challenges in HTA, ranging from patient level simulation and infectious disease modelling to propensity score weighting and expert elicitation.

R for trial and model-based cost-effectiveness analysis

9 July 2019, University College London Training event (8 July): Torrington (1-19) B07 - Teal Room in Torrington Place, 1-19 (https://goo.gl/maps/RtR3Ypug2Dq), University College London, United Kingdom Main workshop (9 July): Anatomy G29 J Z Young Lecture Theatre, UCL Medical Sciences and Anatomy (https://goo.gl/maps/biryoFc9CiL2), University College London, United Kingdom. Background and objectives It is our pleasure to announce a workshop and training event on the use of R for trial and model-based cost-effectiveness analysis (CEA).

R for trial and model-based cost-effectiveness analysis

11 July 2018, University College London Venue: Room G13 in 1-19 Torrington Place, University College London, United Kingdom. Background and objectives This one-day workshop on the use of R for trial and model-based cost-effectiveness analysis (CEA) is jointly organised by a consortium of researchers at various institutions (UCL, University of York, University of Oxford and Bangor University), led by the MRC Hubs for Trials and Methodology and Research Conduct-II.