L
Laurence Collette
Researcher at European Organisation for Research and Treatment of Cancer
Publications - 281
Citations - 37642
Laurence Collette is an academic researcher from European Organisation for Research and Treatment of Cancer. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 78, co-authored 276 publications receiving 33811 citations. Previous affiliations of Laurence Collette include VU University Amsterdam & Université catholique de Louvain.
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Journal ArticleDOI
730: Short- Versus Long-Term Androgen Suppression Plus External Beam Radiation Therapy and Survival in Men with High-Risk Adenocarcinoma of the Prostate
Anthony V. D'Amico,James W. Denham,Michel Bolla,Laurence Collette,David Lamb,Keen Hun Tai,Allison Steigler,Ming-Hui Chen +7 more
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354 long term results of immediate versus deferred androgen depri-vation in patients with no local treatment for t0–4 n0–2 m0 prostate cancer (eortc 30891)
Urs E. Studer,Peter Whelan,Walter Albrecht,Florian Wimpissinger,Jacques Casselman,Theo M. de Reijke,Harmut Kn̈onagel,S. Madersbacher,Santiago Isorna,Subramanian K. Sundaram,Laurence Collette +10 more
Journal Article
Boost or Not. Authors' reply
David L Morgan,John F.R. Robertson,Harry Bartelink,Jean-Claude Horiot,Philip Poortmans,Laurence Collette +5 more
Journal ArticleDOI
Does Whole-Brain Radiation Therapy for Oligometastatic Brain Metastases Translate Into a Survival Benefit for Patients With a Limited Competing Risk From Extracranial Disease? A Secondary Analysis of EORTC 22952-26001
Thomas M. Churilla,Elizabeth Handorf,Riccardo Soffietti,Martin Kocher,Ayal A. Aizer,Laurence Collette,Sandra Collette,Yanqun Dong,Brian M. Alexander,Stephanie E. Weiss +9 more
Journal ArticleDOI
Correcting the bias of the net benefit estimator due to right-censored observations.
Julien Péron,Maryam Idlhaj,Delphine Maucort-Boulch,Joris Giai,Pascal Roy,Laurence Collette,Marc Buyse,Brice Ozenne +7 more
TL;DR: The authors proposed a correction to generalized pairwise comparisons (GPC) that estimates the contribution of each uninformative pair based on the average contribution of the informative pairs, which can be applied to the analysis of several prioritized outcomes.