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Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data
Corentin Ségalas
,
Catherine Helmer
,
Robin Genuer
,
Cécile Proust-Lima
Article dans une revue
hal-04693072
v2
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Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data
Florie Bouvier
,
Etienne Peyrot
,
Alan Balendran
,
Corentin Ségalas
,
Ian Roberts
et al.
Article dans une revue
hal-04503566
v1
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Strong instrumental variables biased propensity scores in comparative effectiveness research: A case study in oncology
Nicolas H Thurin
,
Jérémy Jové
,
Régis Lassalle
,
Magali Rouyer
,
Stéphanie Lamarque
et al.
Article dans une revue
hal-03988528
v1
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Propensity score matching after multiple imputation when a confounder has missing data
Corentin Ségalas
,
Clémence Leyrat
,
James R Carpenter
,
Elizabeth Williamson
Article dans une revue
hal-04693080
v1
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Letter to the Editor: Pulling Unmeasured Confounding Out by your Bootstraps: Too Good to be True?
Corentin Segalas
,
Clemence Leyrat
,
Elizabeth Williamson
Article dans une revue
hal-03627207
v1
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Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon
,
Nathan Peiffer-Smadja
,
Corentin Segalas
,
Haiting Jiang
,
Paola Masuzzo
et al.
Article dans une revue
hal-03252162
v1
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Long term evolution of renal function in essential hypertensive patients with no baseline proteinuria
P. Gosse
,
Corentin Segalas
,
S. Rubin
,
R. Boulestreau
,
Helene Jacqmin-Gadda
et al.
Article dans une revue
hal-03121436
v1
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A curvilinear bivariate random changepoint model to assess temporal order of markers
Corentin Segalas
,
Catherine Helmer
,
Helene Jacqmin-Gadda
Article dans une revue
hal-03143225
v1
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A hypothesis testing procedure for random changepoint mixed models
Corentin Segalas
,
Helene Amieva
,
Helene Jacqmin-Gadda
Article dans une revue
hal-03164561
v1
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