Results 51 to 60 of about 631,292 (281)
Heliyon, 2023 In the past 30 years, the global influence of the FIFA World Cup has continued to grow. According to statistics, the final match of the 2022 World Cup in Qatar attracted an audience of over 3 billion.
Mu Fan, Fei Liu, Dong Huang, Hui Zhang
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On the application of generalized linear mixed models for predicting path loss in LTE networks
EURASIP Journal on Advances in Signal Processing, 2023 To meet the ever-growing demand for higher data rates, accurate channel models are needed for optimal design and deployment of mobile wireless networks. This work proposes a new method for addressing path loss modeling at 800 MHz of suburban environment ...
Achraf Cohen, Yazan A. Alqudah
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A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution [PDF]
, 2015 Diagnostic test accuracy studies typically report the number of true positives, false positives, true negatives and false negatives. There usually exists a negative association between the number of true positives and true negatives, because studies that
Arends +51 more
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BMC Pregnancy and Childbirth, 2022 Background Although antenatal care has the potential role to reduce maternal and child morbidity and mortality, utilization of a recommended number of antenatal care visits is still low in Ethiopia.
Hiwotie Getaneh Ayalew +2 more
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Bayesian hierarchical models and prior elicitation for fitting psychometric functions
Frontiers in Computational Neuroscience, 2023 Our previous articles demonstrated how to analyze psychophysical data from a group of participants using generalized linear mixed models (GLMM) and two-level methods.
Maura Mezzetti +7 more
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Fair Generalized Linear Mixed Models
CoRRWhen using machine learning for automated prediction, it is important to account for fairness in the prediction. Fairness in machine learning aims to ensure that biases in the data and model inaccuracies do not lead to discriminatory decisions. E.g., predictions from fair machine learning models should not discriminate against sensitive variables such ...
Jan Pablo Burgard, João Vitor Pamplona
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, 2020 Recently, applied sciences, including longitudinal and clustered studies in biomedicine require the analysis of ultra-high dimensional linear mixed effects models where we need to select important fixed effect variables from a vast pool of available ...
Ghosh, Abhik, Thoresen, Magne
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Zhongguo gonggong weisheng, 2023 Objective To evaluate the relationship between local rainfall and frailty in the elderly. MethodsThe information on 10 424 elderly aged 65 years and above were extracted from four rounds of the Chinese Longitudinal Healthy Longevity Survey (CLHLS ...
Fenfen ZHOU, Wensu ZHOU, Wenjuan WANG
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Evidence Synthesis for Decision Making 2:A Generalized Linear Modeling Framework for Pairwise and Network Meta-analysis of Randomized Controlled Trials [PDF]
, 2012 We set out a generalized linear model framework for the synthesis of data from randomized controlled trials. A common model is described, taking the form of a linear regression for both fixed and random effects synthesis, which can be implemented with ...
Ades, A E +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson +3 more
wiley +1 more source