output
20152024
most citedMultiple imputation for multilevel data with continuous and binary variables

177 citations

7 papers

stat.ME2024★ 6 cited

Clinical research and methodology What usage and what hierarchical order for secondary endpoints?

Silvy Laporte, Marine Diviné, Danièle Girault +12

In a randomised clinical trial, when the result of the primary endpoint shows a significant benefit, the secondary endpoints are scrutinised to identify additional effects of the t…

q-bio.TO2023

Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm

Loris Guichard, Clara Simmat, Margot Dupeux +6

Introduction: Nottingham grading system is a major prognostic factor for invasive breast carcinoma (IBC). Its determination requires the evaluation of the mitotic score (MS) which…

stat.ME2021

Clustering with missing data: which imputation model for which cluster analysis method?

Vincent Audigier, Ndèye Niang, Matthieu Resche-Rigon

Multiple imputation (MI) is a popular method for dealing with missing values. One main advantage of MI is to separate the imputation phase and the analysis one. However, both are r…

eess.IV2021★ 2 cited

Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images

Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau +2

Ultrasound (US) images usually contain identifying information outside the ultrasound fan area and manual annotations placed by the sonographers during exams. For those images to b…

q-bio.QM2017★ 112 cited

Analyzing huge pathology images with open source software

Christophe Deroulers, David Ameisen, Mathilde Badoual +3

Backgr: Digital pathology images are increasingly used both for diagnosis and research, because slide scanners are nowadays broadly available and because the quantitative study of…

stat.ME2017★ 177 cited

Multiple imputation for multilevel data with continuous and binary variables

Vincent Audigier, Ian R. White, Shahab Jolani +5

We present and compare multiple imputation methods for multilevel continuous and binary data where variables are systematically and sporadically missing. The methods are compared f…