All things related to #medical #test #evaluation | research group based at the University of Exeter Medical School, UK We also run #ExeterTestClub

Exeter, England
Joined November 2016
ETG are looking for a researcher with an interest in tests who has some evaluation or health economic modelling experience. Initially to help with a one year project. Funding is available to develop this into a long term post to improve modelling of test cost-effectivness.
We're looking for a Health Economist (Postdoctoral Research Associate) to work on evaluating the implementation of an artificial intelligence system for the detection of skin cancer in primary care. Apply here: tinyurl.com/yeex3h9u
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Exeter Test Group retweeted
We're looking for a Health Economist (Postdoctoral Research Associate) to work on evaluating the implementation of an artificial intelligence system for the detection of skin cancer in primary care. Apply here: tinyurl.com/yeex3h9u
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Exeter Test Group retweeted
🥹 What incredible students Watch, share and make sure everyone sees this #ucuRISING
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Whether AI is currently being sufficiently evaluated remains legitimately under debate. Hope this pre-print shows how the evidence-base for AI could be improved through carefully collection of data as part of post-marketing surveillance.
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Exeter Test Club 4/4/2023. Fascinating talk from Tim MacDonald on developing the evidence base for a potential screening programme for neonatal diabetes. Recording available shortly medicine.exeter.ac.uk/testgr… Many thanks Tim.
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Comparative accuracy. Just a reminder that theres a great tool to help judge validity. Yang B, et al. QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Ann Intern Med. 2021 Nov;174(11):1592-1599. doi: 10.7326/M21-2234.
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Here's my talk on (in)stability of prediction models that covers work with @GSCollins to appear shortly youtube.com/watch?v=-zRyEbhj…
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Exeter Test Group retweeted
Some may be surprised at the number and variety of randomized trials of diagnostic tests/strategies looking at diagnostic impact (effect on patient-important outcomes) that investigators have conducted. doi.org/10.1016/j.jclinepi.2…
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Exciting new PhD opportunity in our friendly and supportive team using statistical modelling of electronic healthcare records to develop precision medicine approaches for long term outcomes in Type 2 diabetes. exeter.ac.uk/study/funding/a…
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In tomorrows Exeter Test Club Prof Tsaneva-Atanasova will be talking about Digital tests as diagnostic aids for mental health. “I will present our work on identifying and quantifying movement signature during human - virtual partner interaction" says @KrasiTsaneva #ExeterTestClub
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More about evidence linkage in Health technology assessment of diagnostic tests: A state of the art review of methods guidance from international organizations. International Journal of Technology Assessment in Health Care, 39(1), E14. doi:10.1017/S0266462323000065.
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More about treatment of direct evidence in Health technology assessment of diagnostic tests: A state of the art review of methods guidance from international organizations. International Journal of Technology Assessment in Health Care, 39(1), E14. doi:10.1017/S0266462323000065
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More about incorporating test claims in Health technology assessment of diagnostic tests: A state of the art review of methods guidance from international organizations. International Journal of Technology Assessment in Health Care, 39(1), E14. doi:10.1017/S0266462323000065
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This was a hard slog, but the results are important. There are many aspects of HTAs of tests which are inconsistent between national HTA organisations. Taking into account claims of tests is one. Most do, but few use these to systematically and transparently guide the HTA process
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Currently teaching our med students about tests. Often wonder whether I am doing more harm than good by cramming formulae for sensitivity etc. Exploring whether understanding of test accuracy results by direct engagement with 2x2 table might work. Thoughts welcome
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Exeter Test Group retweeted
NEW preprint 'Stability of prediction models' @Richard_D_Riley arxiv.org/abs/2211.01061 Influenced by @f2harrell 'example models', different samples from a population to train models (small/mod. N) will lead to wildly different predictions for the same individual. #statstwitter
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🌟NEW PREPRINT PAPER🌟 "Stability of clinical prediction models developed using statistical or machine learning methods" - with @GSCollins What is model (in)stability? How do we examine, present & quantify it? How does sample size impact (in)stability? arxiv.org/abs/2211.01061
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Exeter Test Group retweeted
Day 3! With a take home message about the "gold standard": There is no such thing as a gold standard. Every solution to solve lack of gold standard has its own disadvantages. Maybe we should move away from the notion that sensitivity and specificity are relative to THE truth.
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Fantastic opportunity to work with an outstanding team 👇
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