Author

Alice R Carter

University of BristolORCID 0000-0003-2817-4195Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Approach:benchmark study· 1 Assay:clinical cohort / trial· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Approach:simulation· 1

Frequent Co-Authors

Amy E. TayloriD· 2 shared George Davey SmithiD· 2 shared Laura D HoweiD· 2 shared Neil M DaviesiD· 2 shared Dipender GilliD· 1 shared Eleanor C. M. SandersoniD· 1 shared Gemma HammertoniD· 1 shared Jon HeroniD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Amy E. TaylorORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineInternational Journal of EpidemiologyPeer-reviewedJan 6, 2022

Educational attainment as a modifier of the effect of polygenic scores for cardiovascular risk factors: cross-sectional and prospective analysis of UK Biobank

Alice R Carter, Sean Harrison, Dipender Gill…·Neil M Davies

This study examines how educational attainment modifies polygenic scores for cardiovascular risk factors using UK Biobank data, finding mixed effects across traits.

20 citations

humanGWAS summary statistics

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GeneticsEuropean Journal of EpidemiologyPeer-reviewedMay 1, 2021

✦ In-depth digest

Mendelian randomisation for mediation analysis: current methods and challenges for implementation

Alice R Carter, Eleanor C. M. Sanderson, Gemma Hammerton…·Laura D Howe

Multivariable and two-step Mendelian randomisation recovered direct and indirect effects with little bias in simulations with confounding or measurement error, conditions that biased phenotypic regression mediation.

1,215 citationstop 1%

humanclinical cohort / trial

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Scientific Communication & EducationbioRxivPreprintNov 23, 2017

A systematic review of sample size and power in leading neuroscience journals

Alice Carter, Kate Tilling, Marcus R Munafò

This study compares sample size and power reporting in neuroscience journals before and after implementing checklists, finding increased comments on sample sizes but decreased formal power calculations.

DOI 10.1101/217596

statistical modelbenchmarking

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