Results 21 to 30 of about 304,135 (266)
Analysis of Microbiome Data in the Presence of Excess Zeros
Frontiers in Microbiology, 2017 Motivation: An important feature of microbiome count data is the presence of a large number of zeros. A common strategy to handle these excess zeros is to add a small number called pseudo-count (e.g., 1).
Abhishek Kaul +3 more
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subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials
Journal of Statistical Software, 2021 The investigation of subgroups is an integral part of randomized clinical trials. Exploration of treatment effect heterogeneity is typically performed by covariate-adjusted analyses including treatment-by-covariate interactions.
Nicolas M. Ballarini +3 more
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Stats, 2022 Artificial neural networks are powerful tools for data analysis, particularly in the context of highly nonlinear regression models. However, their utility is critically limited due to the lack of interpretation of the model given its black-box nature. To
Michele La Rocca, Cira Perna
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Mathematics, 2022 The rock acoustic emission (AE) technique has often been used to study rock destruction properties and has also been considered an important measure for simulating earthquake foreshock sequences.
Daolong Chen +4 more
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Bootstrap, Wild Bootstrap and Generalized Bootstrap [PDF]
, 1995 Some modifications and generalizations of the bootstrap procedurehave been proposed. In this note we will consider the wild bootstrap and the generalized bootstrap and we will give two arguments why it makes sense touse these modifications instead of the original bootstrap.
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A Weighted Bootstrap Approach to Bootstrap Iteration
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary The operation of resampling from a bootstrap resample, encountered in applications of the double bootstrap, maybe viewed as resampling directly from the sample but using probability weights that are proportional to the numbers of times that sample values appear in the resample.
Hall, Peter, Maesono, Y
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Determining the AMSR-E SST Footprint from Co-Located MODIS SSTs
Remote Sensing, 2019 This study was undertaken to derive and analyze the advanced microwave scanning radiometer-Earth observing satellite (EOS) (AMSR-E) sea surface temperature (SST) footprint associated with the remote sensing systems (RSS) level-2 (L2) product.
Brahim Boussidi +3 more
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Bootstrap estimation of resource selection probability functions [PDF]
Computational Ecology and Software, 2013 Resource selection functions (RSFs) are used for quantify how animals are selective in the use of the habitat period or food. A Resource Selection Probability Function (RSPF) can be estimated if N, the total number of units in the population, and n1 the ...
Bryan F. J. Manly +2 more
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The Annals of Statistics, 2021 The bootstrap, introduced by Efron (1982), has become a very popular method for estimating variances and constructing confidence intervals. A key insight is that one can approximate the properties of estimators by using the empirical distribution function of the sample as an approximation for the true distribution function.
Imbens, Guido, Menzel, Konrad
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
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