output
20072026
most citedMultiple imputation of covariates by fully conditional specification: accommodating the substantive model

500 citations

31 papers

stat.ME2026

Introducing precision-weighted bias as a performance measure to inform the inclusion of adaptive designs in meta-analysis

Martin Law, David S. Robertson, Sofia S. Villar +4

We propose a novel, intuitive measure of statistical performance: precision-weighted bias. Precision-weighted bias is defined as the unconditional bias of an estimator weighted by…

cs.CL2026★ 4 cited

Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA

Samuel Thio, Matthew Lewis, Spiros Denaxas +1

Electronic health record (EHR) systems present clinicians with vast repositories of clinical information, creating a significant cognitive burden where critical details are easily…

stat.ME2024★ 2 cited

Multivariate Adjustments for Average Equivalence Testing

Younes Boulaguiem, Luca Insolia, Maria-Pia Victoria-Feser +2

Multivariate (average) equivalence testing is widely used to assess whether the means of two conditions of interest are `equivalent' for different outcomes simultaneously. The mult…

q-bio.PE2024

Mathematical modelling to inform outbreak response vaccination

Manjari Shankar, Anna-Maria Hartner, Callum R. K. Arnold +11

Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns in disease spread, simulate control options to assist public healt…

physics.chem-ph2024★ 33 cited

On the design space between molecular mechanics and machine learning force fields

Yuanqing Wang, Kenichiro Takaba, Michael S. Chen +14

A force field as accurate as quantum mechanics (QM) and as fast as molecular mechanics (MM), with which one can simulate a biomolecular system efficiently enough and meaningfully e…

math.NA2023★ 4 cited

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent

Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman

Electron cryomicroscopy (cryo-EM) is an imaging technique widely used in structural biology to determine the three-dimensional structure of biological molecules from noisy two-dime…