Samuel Branders
Samuel Branders
Senior Data Mining and Statistical Research Scientist, Tools4Patient s.a., Belgium
Потвърден имейл адрес: tools4patient.com
Phase II study of everolimus in patients with locally advanced or metastatic transitional cell carcinoma of the urothelial tract: clinical activity, molecular response, and …
E Seront, S Rottey, B Sautois, J Kerger, LA D'Hondt, V Verschaeve, ...
Annals of oncology 23 (10), 2663-2670, 2012
Stratification of patients based on the neuropathic pain symptom inventory (NPSI): development and validation of a new algorithm.
D Bouhassira, S Branders, N Attal, AM Fernandes, D Demolle, J Barbour, ...
Pain, 2020
A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
R Boidot, S Branders, T Helleputte, LI Rubio, P Dupont, O Feron
Oncotarget 5 (16), 6947, 2014
Hypoxia integration in the serological proteome analysis unmasks tumor antigens and fosters the identification of anti-phospho-eEF2 antibodies as potential cancer biomarkers
M Grandjean, A Sermeus, S Branders, F Defresne, M Dieu, P Dupont, ...
PloS one 8 (10), e76508, 2013
Independent component analysis to remove batch effects from merged microarray datasets
E Renard, S Branders, PA Absil
International Workshop on Algorithms in Bioinformatics, 281-292, 2016
(171) Characterization and prediction of placebo responders in peripheral neuropathic patients in a 4-week analgesic clinical trial
A Pereira, C Duale, F Clermont, P Gramme, S Branders, C Gossuin, ...
The Journal of Pain 17 (4), S18, 2016
Predicting the placebo response in oa to improve the precision of the treatment effect estimation
S Branders, J Dananberg, F Clermont, B Xie, B Hsu, J Visich, A Khan, ...
Osteoarthritis and Cartilage 29, S18-S19, 2021
A balanced hazard ratio for risk group evaluation from survival data
S Branders, P Dupont
Statistics in Medicine 34 (17), 2528-2543, 2015
A mixture Cox-Logistic model for feature selection from survival and classification data
S Branders, R D'Ambrosio, P Dupont
arXiv preprint arXiv:1502.01493, 2015
Modeling of the placebo response in Parkinson’s disease
S Branders, O Rascol, G Garraux, B Berman, G Stebbins, C Goetz, ...
Proceedings of the International Parkinson and Movement Disorders Society …, 2021
Regression, classification and feature selection from survival data: modeling of hypoxia conditions for cancer prognosis
S Branders
UCL Ph. D. Thesis, la-Neuve, Belgium, 2015
Survival Analysis with Cox Regression and Random Non-linear Projections
S Branders, B Frénay, P Dupont
Proceedings of the 23th European Symposium on Artificial Neural Networks …, 2015
Signature of cycling hypoxia and use thereof for the prognosis of cancer
O Feron, S Branders
Can daily self-assessment induce a learning effect mitigating pain evaluation error in clinical trials?
A Ooghe, S Branders, A Pereira
Osteoarthritis and Cartilage 29, S262-S263, 2021
The Coxlogit model: feature selection from survival and classification data
S Branders, R D'Ambrosio, P Dupont
2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2014
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.
S Branders, A Pereira, G Bernard, M Ernst, J Dananberg, A Albert
Statistical Methods in Medical Research 31 (2), 240-252, 2022
Predicting the Placebo Response
E Smith, A Pereira, S Branders, D Demolle
Towards an automated rating of the MDS-UPDRS motor scores
S Marchal, G Garraux, S Branders, G Bernard, C Billocq, A Pereira
MOVEMENT DISORDERS 36, S186-S187, 2021
Leveraging Historical Data for High-Dimensional Regression Adjustment, a Composite Covariate Approach
S Branders, A Pereira, G Bernard, M Ernst, A Albert
arXiv preprint arXiv:2103.14421, 2021
Leveraging historical data for covariate adjustment in the analysis of randomized clinical trials
S Branders, A Pereira, G Bernard, M Ernst, A Albert
RSSB 2021-28th Annual meeting of the Royal Statistical Society of Belgium, 2021
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