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20122026
most citedMatrix Completion Under Monotonic Single Index Models

18 citations

Showing stat.MEShow all

6 papers · 1 filter

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…

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…

stat.ME2018

Simultaneous disease mapping and hot spot detection with application to childhood obesity surveillance from electronic health records

Young-Geun Choi, Lawrence P. Hanrahan, Derek Norton +1

Electronic health records (EHRs) have become a platform for data-driven surveillance on a granular level in recent years. In this paper, we make use of EHRs for early prevention of…

stat.ME2012

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies

Jie Liu, Chunming Zhang, Catherine McCarty +3

Large-scale multiple testing tasks often exhibit dependence, and leveraging the dependence between individual tests is still one challenging and important problem in statistics. Wi…