Presents a neural network model with IPW pseudo-observations for dynamic prediction of alternating recurrent events, with simulation and medical resident mood application results.
Biometrika , volume=
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
New weighted estimating approaches for marginal association of paired outcomes under informative cluster and subgroup sizes, evaluated with a custom simulator separating unit-level and cluster-level associations and applied to NHANES oral-health data.
Tutorial on a statistical roadmap and R packages for selective borrowing in hybrid controlled trials, demonstrated on synthetic lung cancer data.
citing papers explorer
-
Dynamic Prediction of Alternating Recurrent Events via Neural Network
Presents a neural network model with IPW pseudo-observations for dynamic prediction of alternating recurrent events, with simulation and medical resident mood application results.
-
Estimating Association Between Paired Outcomes in Clustered Data with Informative Subgroup Size
New weighted estimating approaches for marginal association of paired outcomes under informative cluster and subgroup sizes, evaluated with a custom simulator separating unit-level and cluster-level associations and applied to NHANES oral-health data.
-
Robust Estimation and Inference with Selective Borrowing in Hybrid Controlled Trials: A Tutorial with SelectiveIntegrative and intFRT
Tutorial on a statistical roadmap and R packages for selective borrowing in hybrid controlled trials, demonstrated on synthetic lung cancer data.