A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction. [PDF]
Sci RepAich A, Murshed MM, Hewage S, Mayeaux A.
europepmc +1 more source
Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity
Biometrical Journal, Volume 68, Issue 3, June 2026.ABSTRACT We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model‐ and design‐based simulations, with the latter using undersmoothed highly adaptive lasso on the “WASH Benefits Bangladesh” data set to ...
Christoph Wiederkehr +2 more
wiley +1 more source
Preface to the Special Issue: Quantum Probability and Randomness V. [PDF]
Entropy (Basel)Khrennikov A, Svozil K.
europepmc +1 more source
Biometrical Journal, Volume 68, Issue 3, June 2026.ABSTRACT In this paper, we present novel methodologies that incorporate auxiliary variables for multiple hypotheses testing related to the main point of interest while effectively controlling the false discovery rate. When dealing with multiple tests concerning the primary variable of interest, researchers can use auxiliary variables to set ...
Seohwa Hwang +5 more
wiley +1 more source
A tiger is not always a satyr: role of male mating behaviour in interspecific mating interactions between Aedes aegypti and Aedes albopictus. [PDF]
Parasit VectorsVollans M +6 more
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Causal Inference for First Non-Fatal Events With the Competing Risk of Death: A Principal Stratification Approach. [PDF]
Stat MedSun J, Cook T.
europepmc +1 more source
Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1533-1551, June 2026.ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman +3 more
wiley +1 more source
A Framework for Generating Realistic Synthetic Tabular Data in a Randomized Controlled Trial Setting. [PDF]
Stat MedPetrakos NZ, Moodie EEM, Savy N.
europepmc +1 more source
Risk return of forward contracting corn with crop insurance
Journal of the Agricultural and Applied Economics Association, Volume 5, Issue 2, Page 139-153, June 2026.Abstract Forward contracting is a common pre‐harvest marketing strategy for row crops, with evidence suggesting higher prices during summer months due to embedded weather risk premiums. While aggressive forward contracting increases farmers' yield risk and potential non‐delivery penalties, crop revenue protection can help offset these financial burdens.
Chandan Bhattarai +4 more
wiley +1 more source