390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Cancer InstituteUS9 papers
- Johns Hopkins UniversityUS3 papers
- National Institutes of HealthUS3 papers
- American Cancer SocietyUS2 papers
- Cancer Research And BiostatisticsUS2 papers
- Harvard UniversityUS2 papers
- Information Management ServicesUS2 papers
- Sylvester Comprehensive Cancer CenterUS2 papers
- The University of Texas MD Anderson Cancer CenterUS2 papers
- University of California, San FranciscoUS2 papers
- University of MiamiUS2 papers
- Vanderbilt UniversityUS2 papers
13 papers
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…
Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models
Jeya Balaji Balasubramanian, Parichoy Pal Choudhury, Srijon Mukhopadhyay +4
Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, such as the R-based iC…
Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study
Seyoung Park, Eun Ryung Lee, Hyokyoung G. Hong
Health outcomes, such as body mass index and cholesterol levels, are known to be dependent on age and exhibit varying effects with their associated risk factors. In this paper, we…
Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using non-targeted HPV strains
Lola Etievant, Joshua N. Sampson, Mitchell H. Gail
Studies of vaccine efficacy often record both the incidence of vaccine-targeted virus strains (primary outcome) and the incidence of non-targeted strains (secondary outcome). Howev…
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…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies
Yongli Han, Paul S. Albert, Christine D. Berg +3
Early detection of clinical outcomes such as cancer may be predicted based on longitudinal biomarker measurements. Tracking longitudinal biomarkers as a way to identify early disea…
Bayesian dose-response analysis for epidemiological studies with complex uncertainty in dose estimation
Deukwoo Kwon, F. Owen Hoffman, Brian E. Moroz +1
Most conventional risk analysis methods rely on a single best estimate of exposure per person which does not allow for adjustment for exposure-related uncertainty. Here, we propose…
Leveraging local identity-by-descent increases the power of case/control GWAS with related individuals
Joshua N. Sampson, Bill Wheeler, Peng Li +1
Large case/control Genome-Wide Association Studies (GWAS) often include groups of related individuals with known relationships. When testing for associations at a given locus, curr…
Genome-wide scan of 29,141 African Americans finds no evidence of selection since admixture
Gaurav Bhatia, Arti Tandon, Melinda C. Aldrich +44
We scanned through the genomes of 29,141 African Americans, searching for loci where the average proportion of African ancestry deviates significantly from the genome-wide average.…
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…
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…
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…