Corentin Ségalas
Corentin Ségalas
Postdoctoral Research Fellow at Univ. Bordeaux
Verified email at - Homepage
Cited by
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Open science saves lives: Lessons from the COVID-19 pandemic
L Besançon, N Peiffer-Smadja, C Segalas, H Jiang, P Masuzzo, C Smout, ...
BMC Medical Research Methodology 21 (1), 1-18, 2021
A hypothesis testing procedure for random changepoint mixed models
C Segalas, H Amieva, H Jacqmin‐Gadda
Statistics in medicine 38 (20), 3791-3803, 2019
A curvilinear bivariate random changepoint model to assess temporal order of markers
C Segalas, C Helmer, H Jacqmin-Gadda
Statistical methods in medical research 29 (9), 2481-2492, 2020
Re: Subramanian and Kumar. Vaccination rates and COVID-19 cases
M Mulot, C Segalas, C Leyrat, L Besançon
European journal of epidemiology 36 (12), 1243-1244, 2021
Long term evolution of renal function in essential hypertensive patients with no baseline proteinuria
P Gosse, C Segalas, S Rubin, R Boulestreau, H Jacqmin-Gadda, ...
Journal of human hypertension 34 (8), 560-567, 2020
Propensity score matching after multiple imputation when a confounder has missing data
C Ségalas, C Leyrat, JR Carpenter, E Williamson
Statistics in Medicine 42 (7), 1082-1095, 2023
Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data
F Bouvier, E Peyrot, A Balendran, C Ségalas, I Roberts, F Petit, R Porcher
arXiv preprint arXiv:2308.03398, 2023
Strong instrumental variables biased propensity scores in comparative effectiveness research: A case study in oncology
NH Thurin, J Jové, R Lassalle, M Rouyer, S Lamarque, P Bosco-Levy, ...
Journal of Clinical Epidemiology 155, 31-38, 2023
Has COVID-19 been the making of Open Science?
L Besançon, C Segalas, C Leyrat
Impact of Social Sciences Blog, 2021
Pulling Unmeasured Confounding Out by your Bootstraps: Too Good to be True?
C Segalas, C Leyrat, E Williamson
Journal of Statistical Research 55 (2), 293-297, 2021
Inference for random changepoint models: application to pre-dementia cognitive decline
C Segalas
Université de Bordeaux, 2019
A semi-latent class model for estimating the time of differentiation of cognitive decline between cases and controls
C Segalas12, H Jacqmin-Gadda
35th International Workshop on Statistical Modelling, 422, 0
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