Results 1 to 10 of about 15,347,884 (286)
A Mechanistic Beta-Binomial Probability Model for mRNA Sequencing Data. [PDF]
PLoS ONE, 2016 A main application for mRNA sequencing (mRNAseq) is determining lists of differentially-expressed genes (DEGs) between two or more conditions. Several software packages exist to produce DEGs from mRNAseq data, but they typically yield different DEGs ...
Gregory R Smith, Marc R Birtwistle
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The Validation of a Beta-Binomial Model for Overdispersed Binomial Data. [PDF]
Commun Stat Simul Comput, 2017 The beta-binomial model has been widely used as an analytically tractable alternative that captures the overdispersion of an intra-correlated, binomial random variable, X. However, the model validation for X has been rarely investigated. As a beta-binomial mass function takes on a few different shapes, the model validation is examined for each of the ...
Kim J, Lee JH.
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scDemultiplex: An iterative beta-binomial model-based method for accurate demultiplexing with hashtag oligos [PDF]
Computational and Structural Biotechnology Journal, 2023 Single-cell sequencing have been widely used to characterize cellular heterogeneity. Sample multiplexing where multiple samples are pooled together for single-cell experiments, attracts wide attention due to its benefits of increasing capacity, reducing ...
Li-Ching Huang +6 more
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Applicability of regression models for the analysis of ordinal PANSS data in schizophrenia: a cohort study [PDF]
Consortium PsychiatricumBACKGROUND: There is ongoing debate about the appropriate measurement level for symptom severity scores derived from clinical rating scales. The use of statistically inappropriate analytical methods for such data may distort results and lead to ...
Anton N. Gvozdetskii +4 more
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A comparison of observation-level random effect and Beta-Binomial models for modelling overdispersion in Binomial data in ecology & evolution [PDF]
PeerJ, 2015 Overdispersion is a common feature of models of biological data, but researchers often fail to model the excess variation driving the overdispersion, resulting in biased parameter estimates and standard errors.
Xavier A. Harrison
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BMC Medical Research Methodology, 2022 Background Meta-analyses are used to summarise the results of several studies on a specific research question. Standard methods for meta-analyses, namely inverse variance random effects models, have unfavourable properties if only very few (2 – 4 ...
Moritz Felsch +5 more
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Media Statistika, 2021 Small Area Estimation (SAE) is one of the statistical methods that used to estimate parameters of model from small subpopulations. Because of that, additional information is needed to predict these parameters that will result a more accurate predictive ...
Ferra Yanuar +2 more
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Passer Journal, 2020 The beta-binomial model that is generated by a simple mixture model has been commonly applied in the health, physical, and social sciences. In clinical and public health, overdispersion occurs due to biological variation between the subjects of interest.
Hanaw Ahmed Amin, Rando Rasul Qadir
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Journal of Biostatistics and Epidemiology, 2023 Introduction: Although geometric distribution, which is a special case of Negative Binomial (NB) distribution, also belongs to the discrete family of distributions, little attention has been paid to modeling count data with the geometric distribution ...
Zainab Al-Balushi +2 more
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Incidence‐data‐based species richness estimation via a Beta‐Binomial model
Methods in Ecology and Evolution, 2022 Individual‐based abundance data and sample‐based incidence data are the two most widely used survey data formats to assess the species diversity in a target area, where the sample‐based incidence data are more available and efficient for estimating ...
Chun‐Huo Chiu
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