From the 1 of 35 linked papers with an AI index.
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Learning study similarity to investigate heterogeneity in meta-analysis using LLMs and triplet loss
Kanella Panagiotopoulou, Harald Binder, Theodoros Evrenoglou
Meta-analyses of observational studies often show substantial between-study heterogeneity, limiting the interpretability of pooled estimates. Meta-regression can be used to explore…
Discovering Causal Relationships Between Time Series With Spatial Structure
Rebecca F. Supple, Hannah Worthington, Ben Swallow
Causal discovery is the subfield of causal inference concerned with estimating the structure of cause-and-effect relationships in a system of interrelated variables, as opposed to…
Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates
Arnoldus F. Otto, Andriëtte Bekker, Antonio Punzo +2
In response to the challenge of accommodating non-Gaussian behaviour in data, the shifted asymmetric Laplace (SAL) cluster-weighted model (SALCWM) is introduced as a model-based me…
Demographic Parity-aware Individualized Treatment Rules
Wenhai Cui, Wen Su, Xiaodong Yan +2
There has been growing interest in developing optimal individualized treatment rules (ITRs) in various fields, such as precision medicine, business decision-making, and social welf…