Cargando…

Marginal models for meta-analysis of diagnostic accuracy studies in frequentist and Bayesian framework using rstan and CopulaREMADA

Detalles Bibliográficos
Autores principales:	Nyaga, Victoria, Marc, Aerts, Marc, Arbyn
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Oral Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4582197/ http://dx.doi.org/10.1186/2049-3258-73-S1-O4

Ejemplares similares

Metadta: a Stata command for meta-analysis and meta-regression of diagnostic test accuracy data – a tutorial
por: Nyaga, Victoria Nyawira, et al.
Publicado: (2022)

Correction: Metadta: a Stata command for meta-analysis and meta-regression of diagnostic test accuracy data – a tutorial
por: Nyaga, Victoria Nyawira, et al.
Publicado: (2022)

Metaprop: a Stata command to perform meta-analysis of binomial data
por: Nyaga, Victoria N, et al.
Publicado: (2014)

Introduction to Frequentist and Bayesian Fitting
por: James, F
Publicado: (2007)

Bayesian and frequentist regression methods
por: Wakefield, Jon
Publicado: (2013)

Bayesian versus frequentist upper limits
por: Rover, Christian, et al.
Publicado: (2011)

Frequentist and Bayesian Quantum Phase Estimation
por: Li, Yan, et al.
Publicado: (2018)

Bayesian-frequentist hybrid inference framework for single cell RNA-seq analyses
por: Han, Gang, et al.
Publicado: (2023)

Comparison of a frequentist and Bayesian response-adaptive randomisation approach in multi-stage phase II selection trials with multiple experimental arms
por: Yap, Christina, et al.
Publicado: (2015)

A comparison of the Bayesian and frequentist approaches to estimation
por: Samaniego, Francisco J
Publicado: (2010)

Frequentist versus Bayesian approaches to multiple testing
por: Sjölander, Arvid, et al.
Publicado: (2019)

Frequentist against Bayesian statistics: tug of war!
por: Nair, Abhijit
Publicado: (2022)

Introduction to Bayesian estimation and copula models of dependence
por: Shemyakin, Arkady, et al.
Publicado: (2017)

Advances in probability distributions with given marginals: beyond the copulas
por: Dall’Aglio, G, et al.
Publicado: (1991)

Bayesians versus frequentists: a philosophical debate on statistical reasoning
por: Vallverdú, Jordi
Publicado: (2016)

Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification
por: Flor, Matthias, et al.
Publicado: (2020)

Comparison of Bayesian and frequentist group-sequential clinical trial designs
por: Stallard, Nigel, et al.
Publicado: (2020)

Interpreting frequentist hypothesis tests: insights from Bayesian inference
por: Sidebotham, David, et al.
Publicado: (2023)

Combining Bayesian Calibration and Copula Models for Age Estimation
por: Faragalli, Andrea, et al.
Publicado: (2023)

Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists
por: Stauffer, Howard B
Publicado: (2007)

Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria
por: Evans, Michael, et al.
Publicado: (2021)

Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization
por: Davis, M., et al.
Publicado: (2023)

Inference of microbial covariation networks using copula models with mixture margins
por: Deek, Rebecca A, et al.
Publicado: (2023)

A comparison of frequentist and Bayesian approaches to the estimation of long-stay per-diems
por: Hatcher, Jeff, et al.
Publicado: (2009)

Statistical matching: a frequentist theory, practical applications, and alternative bayesian approaches
por: Rässler, Susanne
Publicado: (2002)

Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana
por: Iddrisu, Abdul-Karim, et al.
Publicado: (2020)

Evaluating the performance of Bayesian and frequentist approaches for longitudinal modeling: application to Alzheimer’s disease
por: Pérez-Millan, Agnès, et al.
Publicado: (2022)

Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis
por: Robnik, Jakob, et al.
Publicado: (2022)

Brain dopamine receptor system is not altered in obesity: Bayesian and frequentist meta‐analyses
por: Pak, Kyoungjune, et al.
Publicado: (2023)

A mixture copula Bayesian network model for multimodal genomic data
por: Zhang, Qingyang, et al.
Publicado: (2017)

Frequentist and Bayesian approaches for food allergen risk assessment: risk outcome and uncertainty comparisons
por: Birot, Sophie, et al.
Publicado: (2019)

Association of Funisitis with Short-Term Outcomes of Prematurity: A Frequentist and Bayesian Meta-Analysis
por: Hundscheid, Tamara Maria, et al.
Publicado: (2023)

Bayesian and frequentist analysis of an Austrian genome-wide association study of colorectal cancer and advanced adenomas
por: Hofer, Philipp, et al.
Publicado: (2017)

BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults
por: Neupert, Shevaun D., et al.
Publicado: (2021)

Estimating Relative Risk When Observing Zero Events—Frequentist Inference and Bayesian Credibility Intervals
por: Möller, Sören, et al.
Publicado: (2021)

Bayesian versus frequentist clinical research now and then: Lessons from the Greco-Roman medical scholarship
por: Tsagkaris, C., et al.
Publicado: (2022)

An introduction to copulas
por: Nelsen, Roger B
Publicado: (1999)

An introduction to Copulas
por: Nelsen, Roger B
Publicado: (2006)

An introduction to copulas /
por: Nelsen, Roger B.
Publicado: (1999)

Digital breast tomosynthesis improves the accuracy of the diagnosis of circumscribed lesions because of increase of margin visibility
por: Wasan, R, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_23upd83u9vmctr40vlkmbcc1nu