output
20082024
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

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5 papers · 1 filter

stat.ME2024

High-dimensional partial linear model with trend filtering

Sang Kyu Lee, Erikka Loftfield, Hyokyoung G. Hong +1

Understanding the links between diet, metabolic changes, and health outcomes is a key focus in nutritional science and broader biological research. Analyzing relationships, such as…

stat.ME2022★ 4 cited

Confidence Intervals for Prevalence Estimates from Complex Surveys with Imperfect Assays

Damon Bayer, Michael Fay, Barry Graubard

We present several related methods for creating confidence intervals to assess disease prevalence in variety of survey sampling settings. These include simple random samples with i…

stat.ME2012★ 3 cited

Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes

Bin Zhu, David B. Dunson

We propose a nested Gaussian process (nGP) as a locally adaptive prior for Bayesian nonparametric regression. Specified through a set of stochastic differential equations (SDEs), t…

stat.ME2010★ 28 cited

On Combining Data From Genome-Wide Association Studies to Discover Disease-Associated SNPs

Ruth M. Pfeiffer, Mitchell H. Gail, David Pee

Combining data from several case-control genome-wide association (GWA) studies can yield greater efficiency for detecting associations of disease with single nucleotide polymorphis…

stat.ME2008★ 1 cited

A Conversation with Monroe Sirken

Barry I. Graubard, Paul S. Levy, Gordon B. Willis

Born January 11, 1921 in New York City, Monroe Sirken grew up in a suburb of Pasadena, California. He earned B.A. and M.A. degrees in sociology at UCLA in 1946 and 1947, and a Ph.D…