Results 21 to 30 of about 18,517 (245)
Nonlinear models applied to seed germination of Rhipsalis cereuscula Haw (Cactaceae)
Acta Scientiarum: Technology, 2014 The objective of this analysis was to fit germination data of Rhipsalis cereuscula Haw seeds to the Weibull model with three parameters using Frequentist and Bayesian methods.
Terezinha Aparecida Guedes +4 more
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Network meta-analysis: application and practice using R software [PDF]
Epidemiology and Health, 2019 The objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software.
Sung Ryul Shim +3 more
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Journal of Probability and Statistics, 2015 Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals ...
Daniel Turek
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Frequentist and Bayesian Quantum Phase Estimation
Entropy, 2018 Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter.
Yan Li +5 more
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PLoS Computational Biology, 2022 A major limitation of gene expression biomarker studies is that they are not reproducible as they simply do not generalize to larger, real-world, heterogeneous populations.
Laurynas Kalesinskas +2 more
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SAGE Open, 2023 Studies on the going-on COVID-19 pandemic face small sample issues. In this context, Bayesian estimation is considered a viable alternative to frequentist estimation.
Nguyen Ngoc Thach
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Remote Sensing, 2023 The study compares the performance of a hierarchical Bayesian geostatistical methodology with a frequentist geostatistical approach, specifically, Kriging with External Drift (KED), for predicting C stock using prediction aides from the Landsat-8 and ...
Tsikai Solomon Chinembiri +2 more
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BMC Medical Research Methodology, 2009 Background The problem of silent multiple comparisons is one of the most difficult statistical problems faced by scientists. It is a particular problem for investigating a one-off cancer cluster reported to a health department because any one of hundreds,
Wills Rachael A +2 more
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Annals of Gastroenterological Surgery, EarlyView.This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási +7 more
wiley +1 more source
Objective Bayesian fMRI analysis - a pilot study in different clinical environments
Frontiers in Neuroscience, 2015 Functional MRI (fMRI) used for neurosurgical planning delineates functionally eloquent brain areas by time-series analysis of task-induced BOLD signal changes. Commonly used frequentist statistics protect against false positive results based on a p-value
Joerg eMagerkurth +15 more
doaj +1 more source