Author

Luís Fernando Silva Castro-de-Araujo

The University of MelbourneORCID 0000-0002-0952-5052Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Madhurbain SinghiD· 2 shared Michael Churton NealeiD· 2 shared Andrew Joseph SchorkiD· 1 shared Brad VerhulstiD· 1 shared Conor V. DolaniD· 1 shared HERMINE H. M. MAESiD· 1 shared Jared V. BalbonaiD· 1 shared Joel MeffordiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Madhurbain SinghORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 3, 2026

Age at Onset and Liability to Disorder: Estimating Covariances in Censored Populations

Michael Churton Neale, HERMINE H. M. MAES, Lanie K. Mullins…·Joel Mefford

The paper estimates the covariance between liability to a disorder and age at onset in censored populations using a mixture distribution model applied to twin data.

DOI 10.64898/2026.08.04.26359043

humanstatistical model

𝕏 PostBluesky

GeneticsBehavior GeneticsPeer-reviewedNov 2, 2022

MR-DoC2: bidirectional causal modeling with instrumental variables and data from relatives

Luís Fernando Silva Castro-de-Araujo, Madhurbain Singh, Yi Zhou…·Michael Churton Neale

This paper introduces MRDoC2, a model for detecting bidirectional causation using instrumental variables and relative data, without requiring distinct genetic or environmental variance sources.

28 citations

statistical model

𝕏 PostBluesky