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1دورية أكاديمية
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
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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
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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 -
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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
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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
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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
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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
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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 -
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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
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10دورية أكاديمية
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