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2020 – today
- 2020
[j7]Julia Gilhodes, Florence Dalenc, Jocelyn Gal, Christophe Zemmour, Eve Leconte, Jean-Marie Boher
, Thomas Filleron:
Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings. Comput. Math. Methods Medicine 2020: 6795392:1-6795392:13 (2020)
2010 – 2019
- 2019
- [j6]P. Sfumato, Thomas Filleron, R. Giorgi, Richard J. Cook, Jean-Marie Boher:
Goftte: A R package for assessing goodness-of-fit in proportional (sub) distributions hazards regression models. Comput. Methods Programs Biomed. 177: 269-275 (2019) - 2018
- [j5]Bastien Cabarrou, P. Sfumato, Eve Leconte, Jean-Marie Boher, Thomas Filleron:
Designing phase II clinical trials to target subgroup of interest in a heterogeneous population: A case study using an R package. Comput. Biol. Medicine 100: 239-246 (2018) - [j4]Bastien Cabarrou, Florence Dalenc, Eve Leconte, Jean-Marie Boher, Thomas Filleron:
Focus on an infrequently used quantity in the context of competing risks: The conditional probability function. Comput. Biol. Medicine 101: 70-81 (2018) - 2017
- [j3]Julia Gilhodes, Christophe Zemmour, Soufiane Ajana, Alejandra Martinez, Jean-Pierre Delord, Eve Leconte, Jean-Marie Boher, Thomas Filleron:
Comparison of variable selection methods for high-dimensional survival data with competing events. Comput. Biol. Medicine 91: 159-167 (2017) - 2015
- [j2]Bastien Cabarrou, Anaïs Jouin, Jean-Marie Boher, Andrew Kramar, Thomas Filleron:
Assessment of health status over time by Prevalence and Weighted Prevalence functions: Interface in R. Comput. Methods Programs Biomed. 118(3): 298-308 (2015) - 2010
- [j1]Thomas Filleron, Agnès Laplanche, Jean-Marie Boher, Andrew Kramar:
An R function to non-parametric and piecewise analysis of competing risks survival data. Comput. Methods Programs Biomed. 100(1): 24-38 (2010)
Coauthor Index
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