Zobrazeno 1 - 10
of 885
pro vyhledávání: '"Thiébaut, Rodolphe"'
Post-clustering inference in scRNA-seq analysis presents significant challenges in controlling Type I error during Differential Expression Analysis. Data fission, a promising approach, aims to split the data into two new independent parts, but relies
Externí odkaz:
http://arxiv.org/abs/2405.13591
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 3, p e26399 (2021)
BackgroundMany countries worldwide have developed mobile phone apps capable of supporting instantaneous contact tracing to control the COVID-19 pandemic. In France, a few people have downloaded and are using the StopCovid contact tracing app. Student
Externí odkaz:
https://doaj.org/article/3ed3c47618db4f7bae2416ffb369906d
Clustering is part of unsupervised analysis methods that consist in grouping samples into homogeneous and separate subgroups of observations also called clusters. To interpret the clusters, statistical hypothesis testing is often used to infer the va
Externí odkaz:
http://arxiv.org/abs/2210.13172
Autor:
Lambert, Jérôme, Lengline, Etienne, Porcher, Raphaël, Thiébaut, Rodolphe, Zohar, Sarah, Chevret, Sylvie
PURPOSE Providing rapid answers and early acces to patients to innovative treatments without randomized clinical trial (RCT) is growing, with benefit estimated from single-arm trials. This has become common in oncology, impacting the approval pathway
Externí odkaz:
http://arxiv.org/abs/2206.09669
Dynamic treatment regimes (DTR) are a statistical paradigm in precision medicine which aim to optimize patient outcomes by individualizing treatments. At its simplest, a DTR may require only a single decision to be made; this special case is called a
Externí odkaz:
http://arxiv.org/abs/2109.01218
Autor:
Nunes, Marta C., Thommes, Edward, Fröhlich, Holger, Flahault, Antoine, Arino, Julien, Baguelin, Marc, Biggerstaff, Matthew, Bizel-Bizellot, Gaston, Borchering, Rebecca, Cacciapaglia, Giacomo, Cauchemez, Simon, Barbier--Chebbah, Alex, Claussen, Carsten, Choirat, Christine, Cojocaru, Monica, Commaille-Chapus, Catherine, Hon, Chitin, Kong, Jude, Lambert, Nicolas, Lauer, Katharina B., Lehr, Thorsten, Mahe, Cédric, Marechal, Vincent, Mebarki, Adel, Moghadas, Seyed, Niehus, Rene, Opatowski, Lulla, Parino, Francesco, Pruvost, Gery, Schuppert, Andreas, Thiébaut, Rodolphe, Thomas-Bachli, Andrea, Viboud, Cecile, Wu, Jianhong, Crépey, Pascal, Coudeville, Laurent
Publikováno v:
In Infectious Disease Modelling June 2024 9(2):501-518
Publikováno v:
In Computational Statistics and Data Analysis May 2024 193
Autor:
Pastor, Yadira, Reynard, Olivier, Iampietro, Mathieu, Surenaud, Mathieu, Picard, Florence, El Jahrani, Nora, Lefebvre, Cécile, Hammoudi, Adele, Dupaty, Léa, Brisebard, Élise, Reynard, Stéphanie, Moureaux, Élodie, Moroso, Marie, Durand, Stéphanie, Gonzalez, Claudia, Amurri, Lucia, Gallouët, Anne-Sophie, Marlin, Romain, Baize, Sylvain, Chevillard, Eve, Raoul, Hervé, Hocini, Hakim, Centlivre, Mireille, Thiébaut, Rodolphe, Horvat, Branka, Godot, Véronique, Lévy, Yves, Cardinaud, Sylvain
Publikováno v:
In Cell Reports Medicine 19 March 2024 5(3)
Publikováno v:
In Epidemics March 2024 46
We present a parameter estimation method for nonlinear mixed effect models based on ordinary differential equations (NLME-ODEs). The method presented here aims at regularizing the estimation problem in presence of model misspecifications, practical i
Externí odkaz:
http://arxiv.org/abs/2102.11543