g-formula
PulseAugur coverage of g-formula — every cluster mentioning g-formula across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LSTM models enhance causal inference estimator for complex sequential data
Researchers have developed a new plug-in estimator for the g-formula, a method used to estimate causal effects of sustained treatments, particularly in scenarios with treatment-confounder feedback. This novel approach u…
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New framework TCDA enables topological analysis of complex causal data
Researchers have introduced Topological Causal Data Analysis (TCDA), a novel mathematical framework designed to handle complex data structures beyond simple numerical outcomes. TCDA separates the observation space, caus…
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Deep learning model forecasts Alzheimer's progression with uncertainty estimation · 4 sources tracked
Researchers have developed a deep learning framework to forecast Alzheimer's disease progression with improved accuracy and uncertainty estimation. This probabilistic model, adapted from a Temporal Fusion Transformer, p…
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New Bayesian Network Model Tracks Alzheimer's Disease Progression
Researchers have developed a new framework called Bayesian Networks with Latent Time Embedding (BN-LTE) to model the progression of Alzheimer's disease. This approach uses Bayesian networks to estimate disease pseudotim…