activity
20172022
most citedTutorial in Joint Modeling and Prediction: a Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event

66 citations · 119 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.GN2022★ 1 cited

CustOmics: A versatile deep-learning based strategy for multi-omics integration

Hakim Benkirane, Yoann Pradat, Stefan Michiels +1

Recent advances in high-throughput sequencing technologies have enabled the extraction of multiple features that depict patient samples at diverse and complementary molecular level…

stat.ME2021★ 4 cited

Penalized Poisson model for network meta-analysis of individual patient time-to-event data

Edouard Ollier, Pierre Blanchard, Gwénaël Le Teuff +1

Network meta-analysis (NMA) allows the combination of direct and indirect evidence from a set of randomized clinical trials. Performing NMA using individual patient data (IPD) is c…

eess.IV2020★ 46 cited

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention

Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado +5

Segmentation and accurate localization of nuclei in histopathological images is a very challenging problem, with most existing approaches adopting a supervised strategy. These meth…

stat.ME2020★ 2 cited

Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study

Michael Kammer, Daniela Dunkler, Stefan Michiels +1

Variable selection for regression models plays a key role in the analysis of biomedical data. However, inference after selection is not covered by classical statistical frequentist…

stat.ME2018

Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting

Vahé Asvatourian, Clélia Coutzac, Nathalie Chaput +3

Recently, the intervention calculus when the DAG is absent (IDA) method was developed to estimate lower bounds of causal effects from observational high-dimensional data. Originall…

stat.CO2017★ 66 cited

Tutorial in Joint Modeling and Prediction: a Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event

Agnieszka Król, Audrey Mauguen, Yassin Mazroui +3

Extensions in the field of joint modeling of correlated data and dynamic predictions improve the development of prognosis research. The R package frailtypack provides estimations o…