Article

Bayesian Factor Analysis for Binary and Ordinal Phenotypes with Missingness

2026-07-21

Abstract excerpt

Binary and ordinal phenotypes are common in clinical screening and self-reported questionnaires, but many factor analysis and matrix factorization methods are only applicable for quantitative phenotypes with real-valued and/or continuous data distributions. To address this, we propose FABOr (Factor Analysis of Binary and Ordinal data), a Bayesian framework for matrix factorization in which the low-rank matrices ar...

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Literature Corpus work: 73178fdb-7853-5ea5-94fd-6f451c1daf63
DOI: 10.64898/2026.07.15.733660

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