Results 1 to 10 of about 913,637 (282)
Beta-Binomial Regression and Bimodal Utilization [PDF]
Health Services Research, 2013 ObjectiveTo illustrate how the analysis of bimodal U‐shaped distributed utilization can be modeled with beta‐binomial regression, which is rarely used in health services research.Data Sources/Study SettingVeterans Affairs (VA) administrative data and Medicare claims in 2001–2004 for 11,123 Medicare‐eligible VA primary care users in 2000.Study DesignWe ...
James F Burgess +2 more
exaly +5 more sources
The Validation of a Beta-Binomial Model for Overdispersed Binomial Data [PDF]
Communications in Statistics Part B: Simulation and Computation, 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 ...
Jongphil Kim
exaly +5 more sources
Performance of several types of beta-binomial models in comparison to standard approaches for meta-analyses with very few studies. [PDF]
BMC Med Res Methodol, 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 ...
Felsch M +5 more
europepmc +2 more sources
Modeling Microbial Abundances and Dysbiosis With Beta-Binomial Regression. [PDF]
Annals of Applied Statistics, 2020 Using a sample from a population to estimate the proportion of the population with a certain category label is a broadly important problem. In the context of microbiome studies, this problem arises when researchers wish to use a sample from a population of microbes to estimate the population proportion of a particular taxon, known as the taxon's ...
Amy D. Willis +2 more
exaly +7 more sources
A non-uniform bound on binomial approximation to the beta binomial cumulative distribution function [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2019 This paper uses Stein’s method and the characterization of beta binomial random variable to determine a non-uniform bound for the distance between the beta binomial cumulative distribution function with parameters n N, 0 and 0 and the ...
Kanint Teerapabolarn, Khunakorn Sae-Jeng
doaj +3 more sources
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 ...
Smith GR, Birtwistle MR.
europepmc +2 more sources
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.
Harrison XA.
europepmc +3 more sources
Applicability of Regression Models for the Analysis of Ordinal PANSS Data in Schizophrenia: A Cohort Study. [PDF]
Consort PsychiatrBACKGROUND: 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 ...
Gvozdetskii A +4 more
europepmc +2 more sources
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
doaj +1 more source
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
doaj +1 more source