المؤلفون: Bastien Cabarrou, Eve Leconte, Patrick Sfumato, Jean-Marie Boher, Thomas Filleron

المصدر: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-11 (2022)

مصطلحات موضوعية: Phase II clinical oncology trials, Heterogeneity, Adaptive stratified design, Co-primary endpoints, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-2288

URL الوصول: https://doaj.org/article/5f9863928f2c43abb9f68a4f84c5dad4

المؤلفون: Florence Dalenc, Jean-Marie Boher, Christophe Zemmour, Eve Leconte, Julia Gilhodes, Thomas Filleron, Jocelyn Gal

المساهمون: Institut Claudius Regaud, Centre de Lutte contre le Cancer Antoine Lacassagne [Nice] (UNICANCER/CAL), UNICANCER-Université Côte d'Azur (UCA), Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse School of Economics (TSE), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Toulouse School of Economics (TSE-R), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), DSR-SCD-UT1C, Service Publications

المصدر: Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, 2020, 2020, pp.6795392. ⟨10.1155/2020/6795392⟩
Computational and Mathematical Methods in Medicine, 2020, 2020, pp.6795392. ⟨10.1155/2020/6795392⟩

مصطلحات موضوعية: False discovery rate, Boosting (machine learning), Article Subject, Computer science, Computer applications to medicine. Medical informatics, R858-859.7, Breast Neoplasms, Feature selection, Machine learning, computer.software_genre, 01 natural sciences, Statistics, Nonparametric, General Biochemistry, Genetics and Molecular Biology, Correlation, 010104 statistics & probability, 03 medical and health sciences, Resampling, Databases, Genetic, False positive paradox, Humans, Computer Simulation, Precision Medicine, 0101 mathematics, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, B- ECONOMIE ET FINANCE, Proportional Hazards Models, 030304 developmental biology, Likelihood Functions, 0303 health sciences, General Immunology and Microbiology, business.industry, Applied Mathematics, Computational Biology, General Medicine, Prognosis, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, 3. Good health, Sample size determination, Modeling and Simulation, Female, Personalized medicine, Artificial intelligence, business, computer, Algorithms, Research Article

وصف الملف: text; application/pdf; text/xhtml

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c3ed6d2c76e2aa2d44518a457252d60
https://doaj.org/article/1085cb393732418aba10246807fedf43

المؤلفون: Julien Mazieres, Julia Gilhodes, Thomas Filleron, Frédérique Penault-Llorca, Maurice Perol, Eve Leconte, Christos Chouaid, Jean-Pierre Delord

المصدر: Cancer Research. 81:264-264

مصطلحات موضوعية: Oncology, Cancer Research, medicine.medical_specialty, business.industry, Atezolizumab, Internal medicine, medicine, Cancer, medicine.disease, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d00a37355676958f71d2a04fefc3e3af
https://doi.org/10.1158/1538-7445.am2021-264

المؤلفون: Eve Leconte, Jean-Marie Boher, Bastien Cabarrou, Thomas Filleron, Florence Dalenc

المساهمون: Institut Claudius Regaud, Toulouse School of Economics (TSE-R), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT), Unité de Biostatistique et de Méthodologie [Institut Paoli-Calmettes, Marseille] (Département de la Recherche Clinique et de l’Innovation), Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), This project was supported by Institut National Du Cancer (INCa France): (Award code: INCa_081,2012). TF was partly supported by the CAPTOR academic project: ANR-11-PHUC-0001., ANR-11-PHUC-0001,CAPTOR,Cancer et Pharmacologie : Projet de Toulouse-Oncopole et de sa Région(2011), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées, Dupuis, Christine, Pôle hospitalier Universitaire Cancer (PHUC) - Cancer et Pharmacologie : Projet de Toulouse-Oncopole et de sa Région - - CAPTOR2011 - ANR-11-PHUC-0001 - PHUC - VALID, CRLCC Institut Claudius Regaud, Toulouse School of Economics (TSE), École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1), Université Toulouse 1 Capitole (UT1), ANR-11-PHUC-0001/11-PHUC-0001,CAPTOR,Cancer et Pharmacologie : Projet de Toulouse-Oncopole et de sa Région(2011), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

المصدر: Computers in Biology and Medicine
Computers in Biology and Medicine, 2018, 101, pp.70-81. ⟨10.1016/j.compbiomed.2018.08.002⟩
Computers in Biology and Medicine, Elsevier, 2018, 101, pp.70-81. ⟨10.1016/j.compbiomed.2018.08.002⟩

مصطلحات موضوعية: Cumulative incidence, Computer science, media_common.quotation_subject, Regression model, Conditional probability, Health Informatics, Context (language use), Competing risks, 01 natural sciences, Models, Biological, Risk Assessment, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Neoplasms, Econometrics, Humans, 0101 mathematics, Function (engineering), Event (probability theory), media_common, Focus (computing), Likelihood Functions, Models, Statistical, Incidence, Regression analysis, Metastatic breast cancer, Hematologic Diseases, Computer Science Applications, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, 030220 oncology & carcinogenesis, Data Interpretation, Statistical, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e38c799e6a2a5e06234e970ccbdd3e0
https://www.hal.inserm.fr/inserm-02089286/document

المؤلفون: Serge M. A. Somda, Thomas Filleron, Eve Leconte, Andrew Kramar, Bernard Asselain, Jean-Marie Boher

المصدر: Statistical Methods in Medical Research. 25:2457-2471

مصطلحات موضوعية: Statistics and Probability, Pediatrics, medicine.medical_specialty, Schedule, Time Factors, Operations research, Epidemiology, Early detection, Markov model, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Health Information Management, medicine, Humans, 0101 mathematics, Stage (cooking), Laryngeal Neoplasms, B- ECONOMIE ET FINANCE, business.industry, Cancer, medicine.disease, Markov Chains, Natural history, Homogeneous, 030220 oncology & carcinogenesis, Optimal scheduling, Neoplasm Recurrence, Local, business, Follow-Up Studies

وصف الملف: text

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8468c49ed9f5495f3f36e207a19179f9
https://doi.org/10.1177/0962280214524178

المؤلفون: Patrick Sfumato, Jean-Marie Boher, Bastien Cabarrou, Eve Leconte, Thomas Filleron

المساهمون: Unité de Biostatistiques [Toulouse] ( Institut Claudius Regaud / IUCT-O), Institut Claudius Regaud-Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Biostatistiques [Institut Paoli-Calmettes] (Département de la Recherche clinique et de l'Innovation), Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC), Toulouse School of Economics (TSE-R), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), We would like to thank ‘‘La Ligue Nationale Contre le Cancer, France’’ (Comité des Pyrénées-Orientales, Comité de la Meuse, Comité du Maine-et-Loire) for their financial support.This study was funded by ‘‘La Ligue Nationale Contre le Cancer, France’’ (PI: Thomas Filleron)., Institut Claudius Regaud-Institut Universitaire du Cancer Toulouse - Oncopôle (IUCT), Toulouse School of Economics (TSE), École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1), Institut Universitaire du Cancer Toulouse - Oncopôle (IUCT)-Institut Claudius Regaud, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Dupuis, Christine, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Computers in Biology and Medicine
Computers in Biology and Medicine, 2018, 100, pp.239-246. ⟨10.1016/j.compbiomed.2018.06.034⟩
Computers in Biology and Medicine, Elsevier, 2018, 100, pp.239-246. ⟨10.1016/j.compbiomed.2018.06.034⟩

مصطلحات موضوعية: Computer science, Population, Phases of clinical research, Health Informatics, Target population, Machine learning, computer.software_genre, 01 natural sciences, Molecular heterogeneity, 010104 statistics & probability, 03 medical and health sciences, Clinical Trials, Phase II as Topic, 0302 clinical medicine, Neoplasms, Biomarkers, Tumor, Humans, 030212 general & internal medicine, Target therapy, 0101 mathematics, education, education.field_of_study, business.industry, R package, Simon two-stage design, Phase II clinical trial, 3. Good health, Computer Science Applications, Single-arm, Heterogeneous population, Target subgroup, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Biomarker (medicine), [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Artificial intelligence, Heterogeneity, business, computer, Stratified adaptive design

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53724a9b4d5141ef83506bcae3d7aeab
https://www.hal.inserm.fr/inserm-02089323

المؤلفون: Alejandra Martinez, Patrick Sfumato, Jean-Marie Boher, Bastien Cabarrou, Thomas Filleron, Laurent Balardy, Etienne Brain, Jean-Pierre Delord, Loic Mourey, Eve Leconte

المساهمون: Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), DUFOUR, Jean-Charles

المصدر: European Journal of Cancer
European Journal of Cancer, Elsevier, 2018, 103, pp.120-126. ⟨10.1016/j.ejca.2018.07.136⟩

مصطلحات موضوعية: Cancer Research, Population ageing, medicine.medical_specialty, Accrual, [SDV]Life Sciences [q-bio], Medical Oncology, 01 natural sciences, Statistical power, 010104 statistics & probability, 03 medical and health sciences, Genetic Heterogeneity, 0302 clinical medicine, medicine, Humans, 0101 mathematics, Intensive care medicine, business.industry, Gold standard (test), Interim analysis, 3. Good health, Clinical trial, [SDV] Life Sciences [q-bio], Clinical research, Oncology, Geriatric oncology, Geriatrics, Research Design, 030220 oncology & carcinogenesis, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87e5a347822184a521c78ea61c86d28
https://hal-amu.archives-ouvertes.fr/hal-02146874

المؤلفون: Sandrine Casanova, Eve Leconte

المصدر: Journal of Survey Statistics and Methodology. 3:317-338

مصطلحات موضوعية: Statistics and Probability, Statistics::Theory, Hodges–Lehmann estimator, Applied Mathematics, Estimator, Trimmed estimator, Minimum-variance unbiased estimator, Efficient estimator, Bias of an estimator, Nelson–Aalen estimator, Statistics, Consistent estimator, Econometrics, Statistics::Methodology, Statistics, Probability and Uncertainty, Social Sciences (miscellaneous), Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7420bf82b7b3f05850854610825e2c8c
https://doi.org/10.1093/jssam/smv006

المؤلفون: Thomas Filleron, Julia Gilhodes, Jean-Pierre Delord, Alejandra Martinez, Soufiane Ajana, Christophe Zemmour, Jean-Marie Boher, Eve Leconte

المصدر: Computers in biology and medicine. 91

مصطلحات موضوعية: 0301 basic medicine, Boosting (machine learning), Models, Statistical, Databases, Factual, Computer science, Gene Expression Profiling, Stability (learning theory), Health Informatics, Context (language use), Feature selection, Sample (statistics), computer.software_genre, Survival Analysis, Computer Science Applications, 03 medical and health sciences, 030104 developmental biology, Urinary Bladder Neoplasms, Sample size determination, Resampling, Humans, Data mining, Precision Medicine, computer, Selection (genetic algorithm), Algorithms

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e41cf6a829b48e6e33d3402b8bad201a
https://pubmed.ncbi.nlm.nih.gov/29078093

المؤلفون: Serge M. A. Somda, Eve Leconte, Andrew Kramar, Nicolas Penel, Christine Chevreau, Martine Delannes, Maria Rios, Thomas Filleron

المصدر: Medical Decision Making. 34(2):168-179

الإتاحة: https://ideas.repec.org/a/sae/medema/v34y2014i2p168-179.html