Pooling overdispersed binomial data to estimate event rate
Background The beta-binomial model is one of the methods that can be used to validly combine event rates from overdispersed binomial data. Our objective is to provide a full description of this method and to update and broaden its applications in ...
Chan K Arnold, Young-Xu Yinong
doaj +1 more source
Modeling microbial abundances and dysbiosis with beta-binomial regression
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 ...
Martin, Bryan D. +2 more
openaire +5 more sources
Modelling overdispersion with the normalized tempered stable distribution [PDF]
This paper discusses a multivariate distribution which generalizes the Dirichlet distribution and demonstrates its usefulness for modelling overdispersion in count data.
Griffin, Jim E. +6 more
core +1 more source
A Bayesian Approach for Estimating Twin Similarity with Respect to a Binary Trait Under the Beta-Binomial Model [PDF]
In twin studies there is a need to compare a sample of monozygotic to another independent sample of dizygotic twins with respect to the presence or absence of a specific disease or condition.
Marwa Ahmed, Mohamed Shoukri
doaj +1 more source
Performance of the Beta-Binomial Model for Clustered Binary Responses: Comparison with Generalized Estimating Equations [PDF]
This study examined performance of the beta-binomial model in comparison with GEE using clustered binary responses resulting in non-normal outcomes. Monte Carlo simulations were performed under varying intracluster correlations and sample sizes.
Im, Seongah, Seongah Im
core +1 more source
Models for Underreporting: A Bernoulli Sampling Approach for Reported Counts
Underreporting in register systems can be analyzed using a binomial approach, where both the size and the probability parameter have to be estimated. Parameter estimation fails when overdispersion is present.
Gerhard Neubauer +2 more
doaj +1 more source
Exact Posterior distribution of risk ratio in the Kumaraswamy–Binomial model
In categorical data analysis, the $2\times 2$ contingency tables are commonly used to assess the association between groups and responses, this is achieved by using some measures of association, such as the contingency coefficient, odds ratio, risk ...
Andrade, Jose A. A., Rathie, Pushpa
doaj +1 more source
Using beta binomials to estimate classification uncertainty for ensemble models [PDF]
Quantitative structure-activity (QSAR) models have enormous potential for reducing drug discovery and development costs as well as the need for animal testing. Great strides have been made in estimating their overall reliability, but to fully realize that potential, researchers and regulators need to know how confident they can be in individual ...
Robert D. Clark +5 more
openaire +3 more sources
PERBANDINGAN MODEL REGRESI LOGISTIK DAN MODEL REGRESI BETA BINOMIAL DALAM KASUS KREDIT MACET [PDF]
Regresi logistik adalah salah satu metode statistik yang menjelaskan hubungan variabel tak bebas yang bersifat dikotomi dengan variabel bebas yang bersifat data kuantitatif dan kualitatif.
Newita, Tria Dewi, Martha, Shantika
core +1 more source
Current methods to quantify T-cell clonal expansion only account for variance due to random sampling from a highly diverse repertoire space. We propose a beta-binomial model to incorporate time-dependent variance into the assessment of differentially ...
Julie Rytlewski +6 more
doaj +1 more source

