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1. The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data

2. On Weighted Orthogonal Learners for Heterogeneous Treatment Effects

3. On Estimation and Cross-validation of Dynamic Treatment Regimes with Competing Risks

4. Handling time-dependent exposures and confounders when estimating attributable fractions -- bridging the gap between multistate and counterfactual modeling

5. Overly Optimistic Prediction Results on Imbalanced Data: a Case Study of Flaws and Benefits when Applying Over-sampling

13. Positive blood culture detection in time series data using a BiLSTM network

14. Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

27. Hepatic PPARα function and lipid metabolic pathways are dysregulated in polymicrobial sepsis

28. Dealing with time‐dependent exposures and confounding when defining and estimating attributable fractions—Revisiting estimands and estimators.

30. Synthetic Data: Can We Trust Statistical Estimators?

31. Epidemiological characteristics, practice of ventilation, and clinical outcome in patients at risk of acute respiratory distress syndrome in intensive care units from 16 countries (PRoVENT): an international, multicentre, prospective study

32. On a General Class of Orthogonal Learners for the Estimation of Heterogeneous Treatment Effects

37. Correction to: Neonatal magnesium levels are safe after maternal MgSO4 administration: a comparison between unexposed preterm neonates and neonates exposed for fetal neuroprotection or maternal eclampsia prevention—a cohort study

44. Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

47. The population-attributable fraction for time-to-event data.

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