BartCure estimates causal cure and latency effects in survival data with a cured subpopulation using Bayesian causal machine learning and is applied to the CALGB 40101 breast cancer trial.
False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant
3 Pith papers cite this work. Polarity classification is still indexing.
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TypedCSIP applies typed counterfactual selective intervention pretraining on expert revisions to lift macro-F1 by 0.9-1.3 pp on the LCR-CN Chinese legislative conflict classification benchmark under a pre-registered multi-seed test.
NeuraDock Agent is an open-source architecture that pairs a local EEG engine with a restricted LLM context pack to enforce hardware and implementation boundaries for seven-channel recordings.
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Bayesian Causal Machine Learning for Cure Models
BartCure estimates causal cure and latency effects in survival data with a cured subpopulation using Bayesian causal machine learning and is applied to the CALGB 40101 breast cancer trial.