Methods for analyzing binary of data clusters into intestinal segments of the patients
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Nuclear Medicine"
DOI: 10.1007/s12149-020-01471-w
Abstract: We appreciate the reading and commenting on our article by Sabour Siamak regarding the accuracy of oral 67Gallium citrate scintigraphy in the assessment of inflammatory activity of Crohn’s Disease. In his letter, Siamak performs contributions… read more here.
Keywords: disease; intestinal segments; test; binary data ... See more keywords
Conditional mechanochromic fluorescence with turn-on response: A new way to encrypt and decrypt binary data
Sign Up to like & getrecommendations! Published in 2018 at "Dyes and Pigments"
DOI: 10.1016/j.dyepig.2018.06.037
Abstract: Abstract We report the synthesis and photoluminescence (PL) behavior of a new molecular system, which is composed of three positional isomers. They exhibit isomeric effects on both aggregation-induced emission (AIE) and intramolecular charge transfer (ICT)… read more here.
Keywords: fluorescence; mechanochromic fluorescence; conditional mechanochromic; mechanical force ... See more keywords
A comparison of machine learning surrogate models for net present value prediction from well placement binary data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2021.109208
Abstract: Abstract Net Present Value (NPV) is an important indicator to guide investment decisions. In oil production planning, NPV is employed to evaluate and select among different production strategies. However, NPV estimation requires computational costly numerical… read more here.
Keywords: well placement; present value; net present; binary data ... See more keywords
Exact methods of testing the homogeneity of prevalences for correlated binary data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1351971
Abstract: ABSTRACT Correlated binary data arise in many ophthalmological and otolaryngological clinical trials. To test the homogeneity of prevalences among different groups is an important issue when conducting these trials. The equal correlation coefficients model proposed… read more here.
Keywords: exact methods; correlated binary; methods testing; binary data ... See more keywords
Likelihood inference for correlated binary data without any information about the joint distributions
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1033553
Abstract: ABSTRACT We propose a universal robust likelihood that is able to accommodate correlated binary data without any information about the underlying joint distributions. This likelihood function is asymptotically valid for the regression parameter for any… read more here.
Keywords: data without; correlated binary; joint distributions; without information ... See more keywords
Modeling the rate of HIV testing from repeated binary data amidst potential never-testers.
Sign Up to like & getrecommendations! Published in 2019 at "Biostatistics"
DOI: 10.1093/biostatistics/kxx071
Abstract: Many longitudinal studies with a binary outcome measure involve a fraction of subjects with a homogeneous response profile. In our motivating data set, a study on the rate of human immunodeficiency virus (HIV) self-testing in… read more here.
Keywords: modeling rate; never testers; group; model ... See more keywords
Doubly robust pseudo-likelihood for incomplete hierarchical binary data
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Modelling"
DOI: 10.1177/1471082x18808611
Abstract: Missing data is almost inevitable in correlated-data studies. For non-Gaussian outcomes with moderate to large sequences, direct-likelihood methods can involve complex, hard-to-manipulate likelihoods. Popular alternative approaches, like generalized estimating equations, that are frequently used to… read more here.
Keywords: hierarchical binary; robust pseudo; pseudo likelihood; binary data ... See more keywords
Simultaneous confidence bands in a zero-inflated regression model for binary data
Sign Up to like & getrecommendations! Published in 2022 at "Random Operators and Stochastic Equations"
DOI: 10.1515/rose-2022-2073
Abstract: Abstract The logistic regression model has become a standard tool to investigate the relationship between a binary outcome and a set of potential predictors. When analyzing binary data, it often arises, however, that the observed… read more here.
Keywords: binary data; model; regression model; confidence bands ... See more keywords
PhyloM: A Computer Program for Phylogenetic Inference from Measurement or Binary Data, with Bootstrapping
Sign Up to like & getrecommendations! Published in 2022 at "Life"
DOI: 10.3390/life12050719
Abstract: Quantitative and binary results are ubiquitous in biology. Inasmuch as an underlying genetic basis for the observed variation in these observations can be assumed, it is pertinent to infer the evolutionary relationships among the entities… read more here.
Keywords: binary data; computer program; program; computer ... See more keywords
BinMat: A molecular genetics tool for processing binary data obtained from fragment analysis in R
Sign Up to like & getrecommendations! Published in 2022 at "Biodiversity Data Journal"
DOI: 10.3897/bdj.10.e77875
Abstract: Abstract Processing and visualising trends in the binary data (presence or absence of electropherogram peaks), obtained from fragment analysis methods in molecular biology, can be a time-consuming and often cumbersome process. Scoring and analysing binary… read more here.
Keywords: binmat; binary data; obtained fragment; fragment analysis ... See more keywords