Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Daniel Yekutieli"'
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 8, p e1005700 (2017)
In almost every field in genomics, large-scale biomedical datasets are used to report associations. Extracting associations that recur across multiple studies while controlling the false discovery rate is a fundamental challenge. Here, we propose a n
Externí odkaz:
https://doaj.org/article/72a5513008b6447fa64f77dc02812519
Autor:
Barbara G. Silverman, Osnat Ashur-Fabian, Paul J. Davis, Offer Fabian, Shmuel Giveon, Aleck Hercbergs, Daniel Yekutieli, Eilon Krashin, Martin Ellis, David M. Steinberg
Publikováno v:
Endocrine-Related Cancer. 28:705-713
Research on the association between thyroid hormone levels and cancer mortality remains limited and inconclusive. We determined the relation of thyroid stimulating hormone (TSH), free T4 (FT4), and free T3 (FT3) levels with mortality in overall cance
Autor:
Shmuel Giveon, Osnat Ashur-Fabian, Barbara Silverman, Eilon Krashin, Offer Fabian, David M. Steinberg, Aleck Hercbergs, Martin Ellis, Paul J. Davis, Daniel Yekutieli
Publikováno v:
European journal of endocrinology. 184(3)
Objective The association between dysregulated thyroid hormone function and cancer risk is inconclusive, especially among different age groups and uncommon malignancies. We sought to determine the relation of TSH and free T4 levels with overall cance
Publikováno v:
Journal of clinical epidemiology. 107
Background and Objectives Meta-analyses sometimes summarize results in the presence of substantial unexplained between-study heterogeneity. As GRADE criteria highlight, unexplained heterogeneity reduces certainty in the evidence, resulting in limited
Publikováno v:
2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).
Pulse-Doppler radar is suitable for target detection and parameter estimation such as range and radial velocity. The signal processing, in this type of radars, is based on matched filter and discrete Fourier transform (DFT). Detection, measurement ac
Publikováno v:
Bioinformatics
Motivation: Detecting modules of co-ordinated activity is fundamental in the analysis of large biological studies. For two-dimensional data (e.g. genes × patients), this is often done via clustering or biclustering. More recently, studies monitoring
Autor:
Daniel Yekutieli
Publikováno v:
TEST. 24:287-301
We present a methodology for constructing significance tests for “difficult” composite alternative hypotheses that have no natural test statistic. We apply our methodology to construct exact tests for cross-tabulated data, and our motivating exam
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 8, p e1005700 (2017)
PLoS Computational Biology
PLoS Computational Biology
In almost every field in genomics, large-scale biomedical datasets are used to report associations. Extracting associations that recur across multiple studies while controlling the false discovery rate is a fundamental challenge. Here, we propose a n
Autor:
Daniel Yekutieli
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 74:515-541
Summary We address the problem of providing inference from a Bayesian perspective for parameters selected after viewing the data. We present a Bayesian framework for providing inference for selected parameters, based on the observation that providing
Publikováno v:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 367:4255-4271
We explain the problem of selective inference in complex research using a recently published study: a replicability study of the associations in order to reveal and establish risk loci for type 2 diabetes. The false discovery rate approach to such pr