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PDF) Beyond Kappa: A Review of Interrater Agreement Measures
PDF) Beyond Kappa: A Review of Interrater Agreement Measures

GitHub - aaronnorby/cohens-kappa-JS: Javascript module for computing  Cohen's kappa and Cohen's weighted kappa.
GitHub - aaronnorby/cohens-kappa-JS: Javascript module for computing Cohen's kappa and Cohen's weighted kappa.

High-throughput screening and Bayesian machine learning for  copper-dependent inhibitors of Staphylococcus aureus - Metallomics (RSC  Publishing) DOI:10.1039/C8MT00342D
High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus - Metallomics (RSC Publishing) DOI:10.1039/C8MT00342D

GitHub - fate-ewi/bayesdfa: Bayesian DFA with Stan
GitHub - fate-ewi/bayesdfa: Bayesian DFA with Stan

The Equivalence of Weighted Kappa and the Intraclass Correlation  Coefficient as Measures of Reliability - Joseph L. Fleiss, Jacob Cohen, 1973
The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability - Joseph L. Fleiss, Jacob Cohen, 1973

GitHub - monika76five/Undergrad-Bayesian-Course
GitHub - monika76five/Undergrad-Bayesian-Course

Range of correlations in the size distributions of plant proteins | The  European Physical Journal Plus
Range of correlations in the size distributions of plant proteins | The European Physical Journal Plus

A measure of agreement across numerous conditions: assessing when changes  in network structures are tissue-specific | BMC Genomics | Full Text
A measure of agreement across numerous conditions: assessing when changes in network structures are tissue-specific | BMC Genomics | Full Text

Consensus versus Individual QSARs in Classification: Comparison on a  Large-Scale Case Study | Journal of Chemical Information and Modeling
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study | Journal of Chemical Information and Modeling

How can I determine what values of alpha and kappa to use for Bayesian  Optimization? - Cross Validated
How can I determine what values of alpha and kappa to use for Bayesian Optimization? - Cross Validated

Frontiers | Alzheimer's Disease Diagnosis and Biomarker Analysis Using  Resting-State Functional MRI Functional Brain Network With Multi-Measures  Features and Hippocampal Subfield and Amygdala Volume of Structural MRI
Frontiers | Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI

Bayesian Inference for High Dimensional Cox Models with Gaussian and  Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients  Admitted to the ICU | Statistics in Biosciences
Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU | Statistics in Biosciences

Goodness-of-fit testing for meta-analysis of rare binary events |  Scientific Reports
Goodness-of-fit testing for meta-analysis of rare binary events | Scientific Reports

Expert-validated estimation of diagnostic uncertainty for deep neural  networks in diabetic retinopathy detection - ScienceDirect
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection - ScienceDirect

A Coefficient of Agreement for Nominal Scales - Jacob Cohen, 1960
A Coefficient of Agreement for Nominal Scales - Jacob Cohen, 1960

GitHub - ganlumomo/BKISemanticMapping: Bayesian Spatial Kernel Smoothing  for Scalable Dense Semantic Mapping
GitHub - ganlumomo/BKISemanticMapping: Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

Results of tests for phylogenetic signals among macaque | Download Table
Results of tests for phylogenetic signals among macaque | Download Table

GitHub - wlandau/ncb2023: Short course on Bayesian methods for nonclinical  statisticians: https://github.com/wlandau/ncb2023
GitHub - wlandau/ncb2023: Short course on Bayesian methods for nonclinical statisticians: https://github.com/wlandau/ncb2023

Entropy | Free Full-Text | Haphazard Intentional Sampling in Survey and  Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy
Entropy | Free Full-Text | Haphazard Intentional Sampling in Survey and Allocation Studies on COVID-19 Prevalence and Vaccine Efficacy

GitHub - fabian-s/spikeSlabGAM: R-package: Bayesian variable selection,  model choice, and regularized estimation for (spatial) generalized additive  mixed regression models via stochastic search variable selection with  spike-and-slab priors.
GitHub - fabian-s/spikeSlabGAM: R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.

GitHub - Kappa-Dev/KappaTools: Tool suite for kappa models. Documentation  and binaries can be found in the release section. Try it online at
GitHub - Kappa-Dev/KappaTools: Tool suite for kappa models. Documentation and binaries can be found in the release section. Try it online at

Single-subject analysis of N400 event-related potential component with five  different methods - ScienceDirect
Single-subject analysis of N400 event-related potential component with five different methods - ScienceDirect

Bayesian model and selection signature analyses reveal risk factors for  canine atopic dermatitis | Communications Biology
Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis | Communications Biology

Genomic architecture and prediction of censored time-to-event phenotypes  with a Bayesian genome-wide analysis | Nature Communications
Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis | Nature Communications

High-throughput screening and Bayesian machine learning for  copper-dependent inhibitors of Staphylococcus aureus - Metallomics (RSC  Publishing) DOI:10.1039/C8MT00342D
High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus - Metallomics (RSC Publishing) DOI:10.1039/C8MT00342D