output
20122026
most citedThe Federated Tumor Segmentation (FeTS) Challenge

16 citations

9 papers

stat.ME2026

Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice

Shijie Yuan, Amy Cochran, Paul Rathouz

Accurate power and sample size (PSS) calculations are essential for designing studies that use quasi-likelihood (QL) models, which extend generalized linear models (GLMs) to settin…

stat.ME2025

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models

Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4

Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…

q-bio.NC2024

Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort

Apoorva Safai, Erin Jonaitis, Rebecca E Langhough +6

Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patte…

astro-ph.GA2024

EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems

Jahang Prathap, Andrew M. Hopkins, Aaron S. G. Robotham +17

We propose a new method for identifying active galactic nuclei (AGN) in low mass () galaxies. This method relies on spectral energy distribution (SED) fi…

stat.ME2023

Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint

Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1

Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…

stat.ME2023

Group sequential two-stage preference designs

Ruyi Liu, Fan Li, Denise Esserman +1

The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…