Works (4)

Updated: July 9th, 2023 21:16

2011 journal article

Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments


By: W. Sun* & Z. Wei*

author keywords: Compound decision problem; Conjunction and partial conjunction tests; False discovery rate; Hidden Markov models; Microarray time-course data; Simultaneous set-wise testing
TL;DR: A compound decision-theoretic framework for set-wise multiple testing is formulated and a data-driven procedure that aims to minimize the missed set rate subject to a constraint on the false set rate is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2010 journal article

Design and Analysis of Multiple Events Case-Control Studies

BIOMETRICS, 66(4), 1220–1229.

By: W. Sun n, M. Joffe*, J. Chen* & S. Brunelli*

author keywords: Case-cohort study; Multiple events case-control study; Nested case-control study; Sampling from a cohort; Semiparametric efficient estimator
MeSH headings : Administration, Oral; Biometry / methods; Case-Control Studies; Humans; Phosphates / administration & dosage; Phosphates / adverse effects; Renal Insufficiency, Chronic / chemically induced; Research Design / statistics & numerical data
TL;DR: It is shown that the gain in efficiency by using the new design of multiple events case–control studies is substantial in many situations and three general estimating‐equation‐based approaches to analyzing data from these studies are developed. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2010 conference paper

Simultaneous set-wise testing under dependence, with applications to genome-wide association studies

Statistics and its Interface, 3(4), 501–511.

By: W. Wang*, Z. Wei* & W. Sun n

TL;DR: The proposed GLIS procedure is applied to analyze a Type 1 diabetes (T1D) GWAS dataset for detecting T1D associated genomic regions and shows that the proposed SNP set analysis not only provides better biological insights, but also increases the statistical power by pooling information from different samples. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2009 journal article

Multiple testing in genome-wide association studies via hidden Markov models

BIOINFORMATICS, 25(21), 2802–2808.

MeSH headings : Animals; Databases, Genetic; Genome; Genome-Wide Association Study / methods; Genomics / methods; Humans; Markov Chains; Polymorphism, Single Nucleotide
TL;DR: A powerful data-driven procedure [pooled local index of significance (PLIS)], that controls the false discovery rate (FDR) at the nominal level, is proposed that is shown to be optimal in the sense that it has the smallest false negative rates (FNR) among all valid FDR procedures. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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