Bruno
GIRAUDEAU

Full-Time Professor - Hospital Practitioner



Subject: Biostatistics

Biosketch

Bruno Giraudeau is Professor of Biostatistics at the Pharmaceutical School, University of Tours, France. He is deputy director of the INSERM U1246 - SPHERE research unit and also head of the Biometrical department of the INSERM CIC 1415. His research interests are in cluster randomized trials. He is interested in, planning, conducting and analysing cluster trials, focussing both on statistical (sample size calculation, statistical analysis in case of baseline imbalance) and methodological issues. He notably works on biases in cluster randomized trials, how to limit them and how to identify them.

Illustration 'About-us'

Key-words

Cluster randomized trials

Publications

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Is the R Coefficient of Interest in Cluster Randomized Trials With a Binary Outcome ? 

Mbekwe Yepnang AM, Caille A, Eldridge SM, Giraudeau B.

Stat Methods Med Res.
2020 Sep;29(9):2470-2480.
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Research Techniques Made Simple: Randomized Controlled Trials for Topical Drugs in Dermatology : When and How Should We Use a Within-Person Design ? 

Leducq S, Caille A, Le Cleach L, Samimi M, Tavernier E, Maruani A, Giraudeau B.

J Invest Dermatol.
2020 May;140(5):931-938.e1.
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Intervention effect estimates in cluster randomized versus individually randomized trials: a meta-epidemiological study.

Leyrat C, Caille A, Eldridge S, Kerry S, Dechartres A, Giraudeau B.

Int J Epidemiol. 
2019 Apr 1;48(2):609-619.
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Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials. 

Caille A, Kerry S, Tavernier E, Leyrat C, Eldridge S, Giraudeau B.

BMJ.
2016 Aug 16;354:i4291.
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Sample size calculation for meta-epidemiological studies. 

Giraudeau B, Higgins JP, Tavernier E, Trinquart L.

Stat Med. 
2016;35(2):239-50.
Illustration publications

Teachings

Biostatistics and Clinical Epidemiology (Pharmaceutical school, Tours) Master 2 Modélisation en Pharmacolgie clinique et épidémiologie DIU Investigation in Clinical research Doctoral school: Initiation to clinical research

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