Cargando…

Reliability of environmental sampling culture results using the negative binomial intraclass correlation coefficient

The Intraclass Correlation Coefficient (ICC) is commonly used to estimate the similarity between quantitative measures obtained from different sources. Overdispersed data is traditionally transformed so that linear mixed model (LMM) based ICC can be estimated. A common transformation used is the nat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Aly, Sharif S, Zhao, Jianyang, Li, Ben, Jiang, Jiming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2014
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916583/ https://www.ncbi.nlm.nih.gov/pubmed/24516783 http://dx.doi.org/10.1186/2193-1801-3-40

Ejemplares similares

Pitfalls and Important Issues in Testing Reliability Using Intraclass Correlation Coefficients in Orthopaedic Research
por: Lee, Kyoung Min, et al.
Publicado: (2012)

Performance of intraclass correlation coefficient (ICC) as a reliability index under various distributions in scale reliability studies
por: Mehta, Shraddha, et al.
Publicado: (2018)

Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study
por: Haddad, Samira M, et al.
Publicado: (2012)

Intraclass correlation coefficient of trunk muscle thicknesses in different positions measured using ultrasonography
por: Endo, Yoshiaki, et al.
Publicado: (2021)

Bias-corrected estimator for intraclass correlation coefficient in the balanced one-way random effects model
por: Atenafu, Eshetu G, et al.
Publicado: (2012)

Statistical notes for clinical researchers: Evaluation of measurement error 1: using intraclass correlation coefficients
por: Kim, Hae-Young
Publicado: (2013)

Assessing test–retest reliability of patient-reported outcome measures using intraclass correlation coefficients: recommendations for selecting and documenting the analytical formula
por: Qin, Shanshan, et al.
Publicado: (2018)

Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance
por: Friedman, Lee, et al.
Publicado: (2020)

Intraclass correlation coefficients for cluster randomized trials in care pathways and usual care: hospital treatment for heart failure
por: Kul, Seval, et al.
Publicado: (2014)

Defining Roles and Responsibilities for School-Based Tele-Facilitators: Intraclass Correlation Coefficient (ICC) Ratings Of Proposed Competencies
por: Douglass, Hannah, et al.
Publicado: (2021)

Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation
por: Wilms, Rafael, et al.
Publicado: (2020)

Screening for data clustering in multicenter studies: the residual intraclass correlation
por: Wynants, Laure, et al.
Publicado: (2013)

Data with Hierarchical Structure: Impact of Intraclass Correlation and Sample Size on Type-I Error
por: Musca, Serban C., et al.
Publicado: (2011)

Intraclass correlation – A discussion and demonstration of basic features
por: Liljequist, David, et al.
Publicado: (2019)

Intraclass correlations of seizure duration by wavelet transform, sample entropy, and visual determination in electroconvulsive therapy
por: Azuma, Hideki, et al.
Publicado: (2019)

Intraclass grouping in the elementary school
por: Petty, Mary Clare
Publicado: (1912)

Some thoughts on the negative binomial count distribution and correlations
por: Carruthers, Peter A
Publicado: (1994)

A Fast Algorithm for Computing Binomial Coefficients Modulo Powers of Two
por: Andreica, Mugurel Ionut
Publicado: (2013)

Individual variation and intraclass correlation in arachidonic acid and eicosapentaenoic acid in chicken muscle
por: Haug, Anna, et al.
Publicado: (2010)

Improved estimation in negative binomial regression
por: Kenne Pagui, Euloge Clovis, et al.
Publicado: (2022)

Intraclass correlation values for adolescent health outcomes in secondary schools in 21 European countries
por: Shackleton, N., et al.
Publicado: (2016)

Generating binomial coefficients in a row of Pascal's triangle from extensions of powers of eleven
por: Shariful Islam, Md., et al.
Publicado: (2022)

Sample Size under Inverse Negative Binomial Group Testing for Accuracy in Parameter Estimation
por: Montesinos-López, Osval Antonio, et al.
Publicado: (2012)

Negative binomial multiplicity distributions in continuous domains
por: Van Hove, Léon Charles Prudent
Publicado: (1987)

Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes
por: Li, Fan, et al.
Publicado: (2021)

Intraclass Correlation and Variance in the Characteristics of Primary Care Patients Managing Chronic Medical and Behavioral Conditions
por: Crocker, Abigail, et al.
Publicado: (2022)

Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size
por: Yu, Danni, et al.
Publicado: (2013)

Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma
por: Bandy, Adrian D., et al.
Publicado: (2023)

Negative binomial properties and clan structure in multiplicity distributions
por: Giovannini, Alberto, et al.
Publicado: (1988)

Intraclass Correlations Values in International Development: Evidence Across Commonly Studied Domains in sub-Saharan Africa
por: Seidenfeld, David, et al.
Publicado: (2023)

Binomial ideals
por: Herzog, Jürgen, et al.
Publicado: (2018)

Evaluation of negative binomial and zero-inflated negative binomial models for the analysis of zero-inflated count data: application to the telemedicine for children with medical complexity trial
por: Lee, Kyung Hyun, et al.
Publicado: (2023)

Thought disorder is correlated with atypical spoken binomial orderings
por: Murphy, Michael, et al.
Publicado: (2022)

Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
por: Hilbe, Joseph M
Publicado: (2011)

Negative binomial multiplicity distributions in high energy hadron collisions
por: Giovannini, Alberto, et al.
Publicado: (1986)

Negative binomial mixed models for analyzing microbiome count data
por: Zhang, Xinyan, et al.
Publicado: (2017)

Measured PET Data Characterization with the Negative Binomial Distribution Model
por: Santarelli, Maria Filomena, et al.
Publicado: (2017)

Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data
por: Zhang, Xinyan, et al.
Publicado: (2018)

Negative binomial additive model for RNA-Seq data analysis
por: Ren, Xu, et al.
Publicado: (2020)

Sequence count data are poorly fit by the negative binomial distribution
por: Hawinkel, Stijn, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_9a7nt98vl6ck41btvam6dg4k98