#statstab #455 {plotROC} Generate ROC Curve Charts for Print and Interactive Use
Thoughts: I dislike ROC curves, just check out the way you show uncertainty on them.
#roc #auc #roccurve #specificity #sensitivity #signaldetection #sdt
#ggplot #r
sachsmc.github.io/plotROC/arti...
A slide about how to use utility-based signal detection to assess people's understanding of whether they need antibiotics.
METHODS Stimuli Hypothetical antibiotic scenarios of respiratory tract infections with varying symptoms and illness duration modelled after the NHS and NICE guidelines 16 scenarios (within-subjects) • 20% require antibiotics (e.g. pneumonia) • 80% don't (e.g. bronchitis) Design & Procedure 3 conditions (between-subjects) - Control (N = 264) - Communication (N = 254) - Communication + CRP (N = 251) Uncertainty manipulated (NN, UN, UY, YY) DV = antibiotic expectations (yes or no)
Antibiotic Expectations results: people often expected antibiotics in situations where they weren't needed. Notably, many people seemed to realize when they didn't need antibiotics.
Pairwise contrasts for Bias and Sensitivity Using a multilevel Bayesian probit regression, we estimated bias and sensitivity By analysing the posterior distribution, we estimated the 95% Bayesian credible interval of the difference in the criterion and the sensitivity between the three communication conditions A difference is significant when its 95% credible interval does not include zero (which was the care for CRP vs. control and Comm vs. control)
And, finally, Andriana Theodoropoulou shared a #signalDetection experiment.
Simple, evidence-based communication reduced inappropriate #antibiotic expectations, especially when combined with diagnostic test results.
Follow Andriana on @researchgate.bsky.social: www.researchgate.net/profile/Andr...
At Versai Labs, we don't build better dashboards
We architect systems that detect critical signals
Surface hidden drivers
And guide precise action before failure occurs
#SignalDetection #PredictiveAnalytics #SystemArchitecture #DataDriven #FailurePrevention
A new AI-powered version of #SafetyVista has just been released, now including 2M+ LLM-assisted drug-safety data points from 25K clinical trials and 2K congress abstracts. 🚀
👉 safety-vista.com
#DrugSafety #SignalDetection #LLMs #MLmodeling #pharmacovigilance
Strengthen your analyses! 💪📈
@mzloteanu.bsky.social talks about all the issues with traditional models in deception detection.
➡️ don't transform your data, issues with anovas
➡️ use bayesian probit analyses! Simpler and more effective.
#LieDetection #SignalDetection #Bayesian
Mystery of Weird Signal Detected in The Australian Desert Finally Solved #Science #Space #Astronomy #SpaceMystery #SignalDetection #AustralianDesert
When the stakes are high and every signal counts, having the right intelligence makes all the difference. Whether it’s a stadium packed with fans or a more tactical environment, OmniSIG is built to keep up! www.deepsig.ai/omnisig/
#SpectrumAwareness #SuperBowlSignals #SignalDetection #SuperBowl
Different reporting patterns influence post-marketing signal detection within a drug class: the case of PARP inhibitors www.frontiersin.org/journals/dru...
#pharmacovigilance #drugsafety #signaldetection
