Results 31 to 40 of about 638,211 (165)
Why estimands are needed to define treatment effects in clinical trials
BMC Medicine, 2023 Background The estimand for a clinical trial is a precise definition of the treatment effect to be estimated. Traditionally, estimates of treatment effects are based on either an ITT analysis or a per-protocol analysis.
Oliver N. Keene +4 more
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Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data
EntropyThis paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha +2 more
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Analysis and achievement for fractional optimal control of Hepatitis B with Caputo operator
Alexandria Engineering Journal, 2023 Deciphering the effect of long memory on dynamic behavior is important for controlling disease transmission. Employing fractional order calculus, here, we propose a model with Caputo operator to emphasize the regulation effect of the long memory on the ...
Jingwen Zhang +3 more
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AxiomsThis paper establishes two novel recurrence relations for Stirling numbers of the second kind—an L recurrence and a vertical recurrence—discovered through a probabilistic analysis of Poisson higher-order origin moments.
Ying-Ying Zhang, Dong-Dong Pan
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Machine Learning Mitigants for Speech Based Cyber Risk
IEEE Access, 2021 Statistical analysis of speech is an emerging area of machine learning. In this paper, we tackle the biometric challenge of Automatic Speaker Verification (ASV) of differentiating between samples generated by two distinct populations of utterances, those
Marta Campi +3 more
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Variational Bayesian Variable Selection for High-Dimensional Hidden Markov Models
MathematicsThe Hidden Markov Model (HMM) is a crucial probabilistic modeling technique for sequence data processing and statistical learning that has been extensively utilized in various engineering applications.
Yao Zhai +3 more
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Fusing time-varying mosquito data and continuous mosquito population dynamics models
Frontiers in Applied Mathematics and Statistics, 2023 Climate change is arguably one of the most pressing issues affecting the world today and requires the fusion of disparate data streams to accurately model its impacts.
Marina Mancuso +6 more
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An Algorithm for Creating a Synaptic Cleft Digital Phantom Suitable for Further Numerical Modeling
AlgorithmsOne of the most significant applications of mathematical numerical methods in biology is the theoretical description of the convectional reaction–diffusion of chemical compounds.
Olga A. Zagubnaya +1 more
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Bayesian model with application to a study of dental caries
BMC Oral Health, 2019 Background Dental caries are a significant public health problem. It is a disease with multifactorial causes. In Sub-Sahara Africa, Ethiopia is one of the countries with a high record of dental caries.
Mekuanint Simeneh Workie +1 more
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Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions
Entropy, 2020 Distance weighted discrimination (DWD) is an appealing classification method that is capable of overcoming data piling problems in high-dimensional settings. Especially when various sparsity structures are assumed in these settings, variable selection in
Tong Su +8 more
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