F
Florent Baty
Researcher at University of St. Gallen
Publications - 106
Citations - 4856
Florent Baty is an academic researcher from University of St. Gallen. The author has contributed to research in topics: Lung cancer & Internal medicine. The author has an hindex of 27, co-authored 91 publications receiving 3731 citations. Previous affiliations of Florent Baty include Gentofte Hospital & University of Copenhagen.
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Dose-Response Analysis Using R
TL;DR: The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.
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A Toolbox for Nonlinear Regression in R: The Package nlstools
Florent Baty,Christian Ritz,Sandrine Charles,Martin Brutsche,Jean-Pierre Flandrois,Marie Laure Delignette-Muller +5 more
TL;DR: A unified diagnostic framework with the R package nlstools is introduced and the various features of the package are presented and exemplified using a worked example from pulmonary medicine.
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Association of bacteria and viruses with wheezy episodes in young children: prospective birth cohort study.
Hans Bisgaard,Mette N. Hermansen,Klaus Bønnelykke,Jakob Stokholm,Florent Baty,Nanna L. Skytt,Julia Aniscenko,Tatiana Kebadze,Sebastian L. Johnston +8 more
TL;DR: Acute wheezy episodes in young children were significantly associated with bacterial infections similar to but independent of the association with virus infections.
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Chromosome 17q21 gene variants are associated with asthma and exacerbations but not atopy in early childhood.
Hans Bisgaard,Klaus Bønnelykke,Patrick M. A. Sleiman,Martin Brasholt,Bo L. Chawes,Eskil Kreiner-Møller,Malene Stage,Cecilia Kim,Roger Tavendale,Florent Baty,Christian Bressen Pipper,Colin N. A. Palmer,Hakon Hakonarsson +12 more
TL;DR: Variation at the chromosome 17q12-q21 locus was associated with approximately twofold increased risk of recurrent wheeze, asthma, asthma exacerbations, and bronchial hyperresponsiveness from early infancy to school age but without conferring risk of eczema, rhinitis, or allergic sensitization.
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Estimating the bacterial lag time: which model, which precision?
TL;DR: The objective of this work was to explore the large number of bacterial growth models recently proposed in the field of predictive microbiology, concerning their capacity to give reliable estimates of the lag phase duration (lambda), and to compare their underlying biological explanations, mathematical formulation and statistical fitting properties.