Results 1 to 10 of about 594 (117)
PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL
E-Jurnal Matematika, 2019 Tetanus Neonatorum (TN) is an infectious disease that could be prevented by immunization. East Java Province is the highest numbers of TN case in Indonesia. TN data in East Java contain overdispersion and big proportion of zero-inflation (71,05%).
LUTHFATUL AMALIANA +2 more
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CoRR, 2023 Many real-world bandit applications are characterized by sparse rewards, which can significantly hinder learning efficiency. Leveraging problem-specific structures for careful distribution modeling is recognized as essential for improving estimation efficiency in statistics. However, this approach remains under-explored in the context of bandits.
Haoyu Wei +3 more
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An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data
IEEE Access, 2021 The human microbiome is comprised of thousands of microbial species. These species will substantially influence the normal physiology of humans and cause numerous diseases. Microbiome data can be measured by sequencing, microarray, or other technologies.
Xiang Lin +3 more
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Modeling zero inflation is not necessary for spatial transcriptomics
Genome Biology, 2022 Background Spatial transcriptomics are a set of new technologies that profile gene expression on tissues with spatial localization information. With technological advances, recent spatial transcriptomics data are often in the form of sparse counts with ...
Peiyao Zhao +3 more
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Royal Society Open Science, 2023 In this paper, performance of hurdle models in rare events data is improved by modifying their binary component. The rare-event weighted logistic regression model is adopted in place of logistic regression to deal with class imbalance due to rare events.
Sharon Awuor Okello +2 more
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Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient
Entropy, 2021 In this research, we consider monitoring mean and correlation changes from zero-inflated autocorrelated count data based on the integer-valued time series model with random survival rate.
Cong Li, Shuai Cui, Dehui Wang
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A comparison of zero-inflated and hurdle models for modeling zero-inflated count data [PDF]
Journal of Statistical Distributions and Applications, 2021 AbstractCounts data with excessive zeros are frequently encountered in practice. For example, the number of health services visits often includes many zeros representing the patients with no utilization during a follow-up time. A common feature of this type of data is that the count measure tends to have excessive zero beyond a common count ...
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Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
Genome Biology, 2020 Background Single-cell RNA sequencing is a powerful tool for characterizing cellular heterogeneity in gene expression. However, high variability and a large number of zero counts present challenges for analysis and interpretation.
Kwangbom Choi +3 more
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Trials, 2023 Background Two characteristics of commonly used outcomes in medical research are zero inflation and non-negative integers; examples include the number of hospital admissions or emergency department visits, where the majority of patients will have zero ...
Kyung Hyun Lee +4 more
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BMC Medical Research Methodology, 2022 Background Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment
Gustavo A. Fernandez +1 more
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