Author

A. Suriawinata

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Christensen· 2 shared B. Ren· 2 shared J. Levy· 2 shared J. O'Malley· 2 shared L. Vaickus· 2 shared M. Lisovsky· 2 shared N. Azizgolshani· 2 shared X. Liu· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersPathology

B. Christensen

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2 papers

Recent·Most cited

Estimating the Inter- and Intra-Rater Reliability for NASH Fibrosis Staging in the Presence of Bridge Ordinal Ratings with Hierarchical Bridge Category Models

J. Levy, C. Bobak, N. Azizgolshani, X. Liu, B. Ren, M. Lisovsky, A. Suriawinata, B. Christensen, J. O'Malley, L. Vaickus

This paper develops hierarchical Bayesian models to assess inter- and intra-rater reliability for NASH fibrosis staging, showing improved precision over ad hoc methods.

bioRxiv · Oct 27, 2021 · PreprintPathology

Bridge Category Models: Development of Bayesian Modelling Procedures to Account for Bridge Ordinal Ratings for Disease Staging

J. Levy, C. A. Bobak, N. Azizgolshani, M. J. Andersen, A. Suriawinata, X. Liu, M. Lisovsky, B. Ren, B. Christensen, L. Vaickus, J. O'Malley

The paper develops Bayesian models to handle bridge ordinal ratings in disease staging and shows they reduce bias and precision loss in models.

bioRxiv · Aug 17, 2021 · PreprintPathology