Titre : Statistiques comme sujet

Statistiques comme sujet : Questions médicales fréquentes

Nom anglais: Statistics as Topic

Descriptor UI: D013223

Tree Number: N06.850.520.830

Termes MeSH sélectionnés :

Consensus

Questions fréquentes et termes MeSH associés

Diagnostic 5

#1

Comment les statistiques aident-elles au diagnostic médical ?

Elles permettent d'analyser des données cliniques pour identifier des tendances et des anomalies.
Statistiques Diagnostic médical
#2

Quel rôle jouent les statistiques dans les tests de dépistage ?

Elles évaluent la sensibilité et la spécificité des tests pour déterminer leur efficacité.
Tests de dépistage Statistiques
#3

Comment les statistiques influencent-elles les critères de diagnostic ?

Elles aident à établir des seuils basés sur des données probantes pour des maladies spécifiques.
Critères de diagnostic Statistiques
#4

Les statistiques peuvent-elles prédire des maladies ?

Oui, elles utilisent des modèles prédictifs basés sur des données épidémiologiques.
Modèles prédictifs Épidémiologie
#5

Quel est l'impact des statistiques sur le diagnostic précoce ?

Elles permettent d'identifier des biomarqueurs et d'améliorer le dépistage précoce.
Diagnostic précoce Biomarqueurs

Symptômes 5

#1

Comment les statistiques aident-elles à identifier des symptômes ?

Elles analysent la fréquence et la distribution des symptômes dans des populations.
Symptômes Statistiques
#2

Les statistiques peuvent-elles quantifier la gravité des symptômes ?

Oui, elles mesurent l'intensité des symptômes à l'aide d'échelles validées.
Gravité des symptômes Échelles de mesure
#3

Quel est le lien entre statistiques et symptômes rares ?

Elles aident à caractériser et à comprendre la prévalence des symptômes rares.
Symptômes rares Prévalence
#4

Comment les statistiques influencent-elles la reconnaissance des symptômes ?

Elles fournissent des données sur les symptômes les plus courants associés à des maladies.
Reconnaissance des symptômes Maladies
#5

Les statistiques peuvent-elles aider à l'évaluation des symptômes chroniques ?

Oui, elles permettent d'analyser l'impact des symptômes chroniques sur la qualité de vie.
Symptômes chroniques Qualité de vie

Prévention 5

#1

Comment les statistiques contribuent-elles à la prévention des maladies ?

Elles identifient les facteurs de risque et évaluent l'efficacité des interventions préventives.
Prévention des maladies Facteurs de risque
#2

Quel rôle jouent les statistiques dans les campagnes de vaccination ?

Elles évaluent l'impact des campagnes sur l'incidence des maladies évitables.
Vaccination Incidence des maladies
#3

Les statistiques peuvent-elles aider à cibler les populations à risque ?

Oui, elles analysent les données démographiques pour identifier les groupes vulnérables.
Populations à risque Données démographiques
#4

Comment les statistiques évaluent-elles les programmes de dépistage ?

Elles mesurent l'impact des programmes sur la détection précoce et la mortalité.
Programmes de dépistage Mortalité
#5

Quel est l'impact des statistiques sur les recommandations de santé publique ?

Elles fournissent des données probantes pour orienter les politiques de santé publique.
Santé publique Recommandations

Traitements 5

#1

Comment les statistiques évaluent-elles l'efficacité des traitements ?

Elles comparent les résultats cliniques entre groupes traités et non traités.
Efficacité des traitements Essais cliniques
#2

Quel rôle jouent les statistiques dans les essais cliniques ?

Elles déterminent la taille de l'échantillon et analysent les résultats pour valider les traitements.
Essais cliniques Analyse statistique
#3

Les statistiques peuvent-elles prédire la réponse au traitement ?

Oui, elles utilisent des modèles pour identifier les facteurs prédictifs de réponse.
Réponse au traitement Modèles prédictifs
#4

Comment les statistiques aident-elles à personnaliser les traitements ?

Elles analysent les données génétiques et cliniques pour adapter les traitements aux patients.
Médecine personnalisée Statistiques
#5

Quel est l'impact des statistiques sur le suivi des traitements ?

Elles permettent d'évaluer l'adhérence et les effets secondaires des traitements au fil du temps.
Suivi des traitements Effets secondaires

Complications 5

#1

Comment les statistiques aident-elles à identifier les complications ?

Elles analysent la fréquence des complications dans les études cliniques et épidémiologiques.
Complications Études épidémiologiques
#2

Quel rôle jouent les statistiques dans la gestion des complications ?

Elles évaluent les résultats des traitements pour minimiser les complications post-opératoires.
Gestion des complications Traitements
#3

Les statistiques peuvent-elles prédire les complications ?

Oui, elles utilisent des modèles pour identifier les facteurs de risque de complications.
Prédiction des complications Facteurs de risque
#4

Comment les statistiques influencent-elles la recherche sur les complications ?

Elles fournissent des données pour orienter les recherches sur la prévention des complications.
Recherche Prévention des complications
#5

Quel est l'impact des statistiques sur le suivi des complications ?

Elles permettent d'évaluer l'évolution des complications et d'ajuster les traitements.
Suivi des complications Évolution

Facteurs de risque 5

#1

Comment les statistiques identifient-elles les facteurs de risque ?

Elles analysent les données épidémiologiques pour établir des associations entre facteurs et maladies.
Facteurs de risque Épidémiologie
#2

Quel rôle jouent les statistiques dans l'évaluation des facteurs de risque ?

Elles quantifient l'impact des facteurs de risque sur l'incidence des maladies.
Évaluation des risques Incidence
#3

Les statistiques peuvent-elles aider à réduire les facteurs de risque ?

Oui, elles évaluent l'efficacité des interventions pour réduire les comportements à risque.
Interventions Comportements à risque
#4

Comment les statistiques influencent-elles les recommandations sur les facteurs de risque ?

Elles fournissent des données probantes pour orienter les conseils de santé publique.
Recommandations Santé publique
#5

Quel est l'impact des statistiques sur la sensibilisation aux facteurs de risque ?

Elles aident à communiquer les risques aux populations pour promouvoir des comportements sains.
Sensibilisation Comportements sains
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"https://questionsmedicales.fr/mesh/D018572", "about": { "@type": "MedicalCondition", "name": "Survie sans rechute", "code": { "@type": "MedicalCode", "code": "D018572", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "N06.850.520.830.998.300" } } }, { "@type": "MedicalWebPage", "name": "Estimation de Kaplan-Meier", "alternateName": "Kaplan-Meier Estimate", "url": "https://questionsmedicales.fr/mesh/D053208", "about": { "@type": "MedicalCondition", "name": "Estimation de Kaplan-Meier", "code": { "@type": "MedicalCode", "code": "D053208", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "N06.850.520.830.998.650" } } }, { "@type": "MedicalWebPage", "name": "Survie sans progression", "alternateName": "Progression-Free Survival", "url": "https://questionsmedicales.fr/mesh/D000077982", "about": { "@type": "MedicalCondition", "name": "Survie sans progression", "code": { "@type": "MedicalCode", "code": "D000077982", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "N06.850.520.830.998.825" } } }, { "@type": "MedicalWebPage", "name": "Modèles des risques proportionnels", "alternateName": "Proportional Hazards Models", "url": "https://questionsmedicales.fr/mesh/D016016", "about": { "@type": "MedicalCondition", "name": "Modèles des risques proportionnels", "code": { "@type": "MedicalCode", "code": "D016016", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "N06.850.520.830.998.912" } } } ] } ], "about": { "@type": "MedicalCondition", "name": "Statistiques comme sujet", "alternateName": "Statistics as Topic", "code": { "@type": "MedicalCode", "code": "D013223", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Henrik Zetterberg", "url": "https://questionsmedicales.fr/author/Henrik%20Zetterberg", "affiliation": { "@type": "Organization", "name": "Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden." } }, { "@type": "Person", "name": "Hye-Jeong Choi", "url": "https://questionsmedicales.fr/author/Hye-Jeong%20Choi", "affiliation": { "@type": "Organization", "name": "Georgia Center for Assessment, Department of Educational Psychology, University of Georgia, Athens, GA, United States." } }, { "@type": "Person", "name": "Seohyun Kim", "url": "https://questionsmedicales.fr/author/Seohyun%20Kim", "affiliation": { "@type": "Organization", "name": "Department of Psychology, University of Virginia, Charlottesville, VA, United States." } }, { "@type": "Person", "name": "Allan S Cohen", "url": "https://questionsmedicales.fr/author/Allan%20S%20Cohen", "affiliation": { "@type": "Organization", "name": "Georgia Center for Assessment, Department of Educational Psychology, University of Georgia, Athens, GA, United States." } }, { "@type": "Person", "name": "Jonathan Templin", "url": "https://questionsmedicales.fr/author/Jonathan%20Templin", "affiliation": { "@type": "Organization", "name": "Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA, United States." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Implementation and Consensus.", "datePublished": "2024-08-19", "url": "https://questionsmedicales.fr/article/39149952", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/IJG.0000000000002439" } }, { "@type": "ScholarlyArticle", "name": "International Consensus on Standard Outcome Measures for Neurodevelopmental Disorders: A Consensus Statement.", "datePublished": "2024-06-03", "url": "https://questionsmedicales.fr/article/38869906", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1001/jamanetworkopen.2024.16760" } }, { "@type": "ScholarlyArticle", "name": "Expert consensus on oncological [", "datePublished": "2022-06-25", "url": "https://questionsmedicales.fr/article/35751696", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1007/s00330-022-08960-8" } }, { "@type": "ScholarlyArticle", "name": "Consensus and inconsistency between different consensus documents on renal denervation worldwide: the way forward.", "datePublished": "2022-12-20", "url": "https://questionsmedicales.fr/article/36103983", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/CM9.0000000000002109" } }, { "@type": "ScholarlyArticle", "name": "Screening of Glaucoma: Consensus and Directions.", "datePublished": "2024-06-14", "url": "https://questionsmedicales.fr/article/39149954", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/IJG.0000000000002449" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Environnement et santé publique", "item": "https://questionsmedicales.fr/mesh/D004778" }, { "@type": "ListItem", "position": 3, "name": "Santé publique", "item": "https://questionsmedicales.fr/mesh/D011634" }, { "@type": "ListItem", "position": 4, "name": "Méthodes épidémiologiques", "item": "https://questionsmedicales.fr/mesh/D004812" }, { "@type": "ListItem", "position": 5, "name": "Statistiques comme sujet", "item": "https://questionsmedicales.fr/mesh/D013223" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Statistiques comme sujet - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Statistiques comme sujet", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-05-11", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Statistiques comme sujet", "description": "Comment les statistiques aident-elles au diagnostic médical ?\nQuel rôle jouent les statistiques dans les tests de dépistage ?\nComment les statistiques influencent-elles les critères de diagnostic ?\nLes statistiques peuvent-elles prédire des maladies ?\nQuel est l'impact des statistiques sur le diagnostic précoce ?", "url": "https://questionsmedicales.fr/mesh/D013223?mesh_terms=Consensus#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Statistiques comme sujet", "description": "Comment les statistiques aident-elles à identifier des symptômes ?\nLes statistiques peuvent-elles quantifier la gravité des symptômes ?\nQuel est le lien entre statistiques et symptômes rares ?\nComment les statistiques influencent-elles la reconnaissance des symptômes ?\nLes statistiques peuvent-elles aider à l'évaluation des symptômes chroniques ?", "url": "https://questionsmedicales.fr/mesh/D013223?mesh_terms=Consensus#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Statistiques comme sujet", "description": "Comment les statistiques contribuent-elles à la prévention des maladies ?\nQuel rôle jouent les statistiques dans les campagnes de vaccination ?\nLes statistiques peuvent-elles aider à cibler les populations à risque ?\nComment les statistiques évaluent-elles les programmes de dépistage ?\nQuel est l'impact des statistiques sur les recommandations de santé publique ?", "url": "https://questionsmedicales.fr/mesh/D013223?mesh_terms=Consensus#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Statistiques comme sujet", "description": "Comment les statistiques évaluent-elles l'efficacité des traitements ?\nQuel rôle jouent les statistiques dans les essais cliniques ?\nLes statistiques peuvent-elles prédire la réponse au traitement ?\nComment les statistiques aident-elles à personnaliser les traitements ?\nQuel est l'impact des statistiques sur le suivi des traitements ?", "url": "https://questionsmedicales.fr/mesh/D013223?mesh_terms=Consensus#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Statistiques comme sujet", "description": "Comment les statistiques aident-elles à identifier les complications ?\nQuel rôle jouent les statistiques dans la gestion des complications ?\nLes statistiques peuvent-elles prédire les complications ?\nComment les statistiques influencent-elles la recherche sur les complications ?\nQuel est l'impact des statistiques sur le suivi des complications ?", "url": "https://questionsmedicales.fr/mesh/D013223?mesh_terms=Consensus#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Statistiques comme sujet", "description": "Comment les statistiques identifient-elles les facteurs de risque ?\nQuel rôle jouent les statistiques dans l'évaluation des facteurs de risque ?\nLes statistiques peuvent-elles aider à réduire les facteurs de risque ?\nComment les statistiques influencent-elles les recommandations sur les facteurs de risque ?\nQuel est l'impact des statistiques sur la sensibilisation aux facteurs de risque ?", "url": "https://questionsmedicales.fr/mesh/D013223?mesh_terms=Consensus#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment les statistiques aident-elles au diagnostic médical ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Elles permettent d'analyser des données cliniques pour identifier des tendances et des anomalies." } }, { "@type": "Question", "name": "Quel rôle jouent les statistiques dans les tests de dépistage ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Elles évaluent la sensibilité et la spécificité des tests pour déterminer leur efficacité." } }, { "@type": "Question", "name": "Comment les statistiques influencent-elles les critères de diagnostic ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Elles aident à établir des seuils basés sur des données probantes pour des maladies spécifiques." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles prédire des maladies ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles utilisent des modèles prédictifs basés sur des données épidémiologiques." } }, { "@type": "Question", "name": "Quel est l'impact des statistiques sur le diagnostic précoce ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Elles permettent d'identifier des biomarqueurs et d'améliorer le dépistage précoce." } }, { "@type": "Question", "name": "Comment les statistiques aident-elles à identifier des symptômes ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Elles analysent la fréquence et la distribution des symptômes dans des populations." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles quantifier la gravité des symptômes ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles mesurent l'intensité des symptômes à l'aide d'échelles validées." } }, { "@type": "Question", "name": "Quel est le lien entre statistiques et symptômes rares ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Elles aident à caractériser et à comprendre la prévalence des symptômes rares." } }, { "@type": "Question", "name": "Comment les statistiques influencent-elles la reconnaissance des symptômes ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des données sur les symptômes les plus courants associés à des maladies." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles aider à l'évaluation des symptômes chroniques ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles permettent d'analyser l'impact des symptômes chroniques sur la qualité de vie." } }, { "@type": "Question", "name": "Comment les statistiques contribuent-elles à la prévention des maladies ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Elles identifient les facteurs de risque et évaluent l'efficacité des interventions préventives." } }, { "@type": "Question", "name": "Quel rôle jouent les statistiques dans les campagnes de vaccination ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Elles évaluent l'impact des campagnes sur l'incidence des maladies évitables." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles aider à cibler les populations à risque ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles analysent les données démographiques pour identifier les groupes vulnérables." } }, { "@type": "Question", "name": "Comment les statistiques évaluent-elles les programmes de dépistage ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Elles mesurent l'impact des programmes sur la détection précoce et la mortalité." } }, { "@type": "Question", "name": "Quel est l'impact des statistiques sur les recommandations de santé publique ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des données probantes pour orienter les politiques de santé publique." } }, { "@type": "Question", "name": "Comment les statistiques évaluent-elles l'efficacité des traitements ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Elles comparent les résultats cliniques entre groupes traités et non traités." } }, { "@type": "Question", "name": "Quel rôle jouent les statistiques dans les essais cliniques ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Elles déterminent la taille de l'échantillon et analysent les résultats pour valider les traitements." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles prédire la réponse au traitement ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles utilisent des modèles pour identifier les facteurs prédictifs de réponse." } }, { "@type": "Question", "name": "Comment les statistiques aident-elles à personnaliser les traitements ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Elles analysent les données génétiques et cliniques pour adapter les traitements aux patients." } }, { "@type": "Question", "name": "Quel est l'impact des statistiques sur le suivi des traitements ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Elles permettent d'évaluer l'adhérence et les effets secondaires des traitements au fil du temps." } }, { "@type": "Question", "name": "Comment les statistiques aident-elles à identifier les complications ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Elles analysent la fréquence des complications dans les études cliniques et épidémiologiques." } }, { "@type": "Question", "name": "Quel rôle jouent les statistiques dans la gestion des complications ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Elles évaluent les résultats des traitements pour minimiser les complications post-opératoires." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles prédire les complications ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles utilisent des modèles pour identifier les facteurs de risque de complications." } }, { "@type": "Question", "name": "Comment les statistiques influencent-elles la recherche sur les complications ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des données pour orienter les recherches sur la prévention des complications." } }, { "@type": "Question", "name": "Quel est l'impact des statistiques sur le suivi des complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Elles permettent d'évaluer l'évolution des complications et d'ajuster les traitements." } }, { "@type": "Question", "name": "Comment les statistiques identifient-elles les facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Elles analysent les données épidémiologiques pour établir des associations entre facteurs et maladies." } }, { "@type": "Question", "name": "Quel rôle jouent les statistiques dans l'évaluation des facteurs de risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Elles quantifient l'impact des facteurs de risque sur l'incidence des maladies." } }, { "@type": "Question", "name": "Les statistiques peuvent-elles aider à réduire les facteurs de risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles évaluent l'efficacité des interventions pour réduire les comportements à risque." } }, { "@type": "Question", "name": "Comment les statistiques influencent-elles les recommandations sur les facteurs de risque ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Elles fournissent des données probantes pour orienter les conseils de santé publique." } }, { "@type": "Question", "name": "Quel est l'impact des statistiques sur la sensibilisation aux facteurs de risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Elles aident à communiquer les risques aux populations pour promouvoir des comportements sains." } } ] } ] }
Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale

Validation scientifique effectuée le 09/04/2025

Contenu vérifié selon les dernières recommandations médicales

En savoir plus sur Dr Menir

Sous-catégories

64 au total
└─

Analyse actuarielle

Actuarial Analysis D000206 - N06.850.520.830.100
└─

Analyse de variance

Analysis of Variance D000704 - N06.850.520.830.150
└─

Aire sous la courbe

Area Under Curve D019540 - N06.850.520.830.200
└─

Analyse de regroupements

Cluster Analysis D016000 - N06.850.520.830.250
└─

Intervalles de confiance

Confidence Intervals D016001 - N06.850.520.830.275
└─

Interprétation statistique de données

Data Interpretation, Statistical D003627 - N06.850.520.830.300
└─

Analyse discriminante

Discriminant Analysis D016002 - N06.850.520.830.350
└─

Utilisation des installations et des services

Facilities and Services Utilization D000078336 - N06.850.520.830.375
└─

Analyse statistique factorielle

Factor Analysis, Statistical D005163 - N06.850.520.830.400
└─

Analyse appariée

Matched-Pair Analysis D016555 - N06.850.520.830.475
└─

Modèles statistiques

Models, Statistical D015233 - N06.850.520.830.500
└─

Méthode de Monte Carlo

Monte Carlo Method D009010 - N06.850.520.830.525
└─

Analyse multiniveaux

Multilevel Analysis D055361 - N06.850.520.830.562
└─

Probabilité

Probability D011336 - N06.850.520.830.600
└─

Utilisation des procédures et des techniques

Procedures and Techniques Utilization D000078337 - N06.850.520.830.675
└─

Analyse de régression

Regression Analysis D012044 - N06.850.520.830.750
└─

Sensibilité et spécificité

Sensitivity and Specificity D012680 - N06.850.520.830.872
└─

Analyse spatiale

Spatial Analysis D062206 - N06.850.520.830.933
└─

Lois statistiques

Statistical Distributions D016008 - N06.850.520.830.994
└─

Statistique non paramétrique

Statistics, Nonparametric D018709 - N06.850.520.830.995
└─

Processus stochastiques

Stochastic Processes D013269 - N06.850.520.830.996
└─

Analyse de survie

Survival Analysis D016019 - N06.850.520.830.998
└─└─

Analyse multifactorielle

Multivariate Analysis D015999 - N06.850.520.830.150.500
└─└─

Analyse de structure latente

Latent Class Analysis D000077272 - N06.850.520.830.250.338
└─└─

Analyse de positionnement multidimensionnel

Multidimensional Scaling Analysis D000084142 - N06.850.520.830.250.507
└─└─

Analyse en petite superficie

Small-Area Analysis D017062 - N06.850.520.830.250.675
└─└─

Analyses secondaires des données

Secondary Data Analysis D000094422 - N06.850.520.830.300.500
└─└─

Analyse de médiation

Mediation Analysis D000081983 - N06.850.520.830.400.500
└─└─

Modèles économiques

Models, Economic D018803 - N06.850.520.830.500.600
└─└─

Nomogrammes

Nomograms D049451 - N06.850.520.830.500.625
└─└─

Théorème de Bayes

Bayes Theorem D001499 - N06.850.520.830.600.200
└─└─

Fonctions de vraisemblance

Likelihood Functions D016013 - N06.850.520.830.600.400
└─└─

Odds ratio

Odds Ratio D016017 - N06.850.520.830.600.600
└─└─

Score de propension

Propensity Score D057216 - N06.850.520.830.600.650
└─└─

Risque

Risk D012306 - N06.850.520.830.600.800
└─└─

Incertitude

Uncertainty D035501 - N06.850.520.830.600.900
└─└─

Méthode des moindres carrés

Least-Squares Analysis D016018 - N06.850.520.830.750.400
└─└─

Modèles linéaires

Linear Models D016014 - N06.850.520.830.750.425
└─└─

Modèles logistiques

Logistic Models D016015 - N06.850.520.830.750.450
└─└─

Limite de détection

Limit of Detection D057230 - N06.850.520.830.872.500
└─└─

Rapport signal-bruit

Signal-To-Noise Ratio D059629 - N06.850.520.830.872.750
└─└─

Cartographie géographique

Geographic Mapping D062305 - N06.850.520.830.933.249
└─└─

Régression spatiale

Spatial Regression D000068916 - N06.850.520.830.933.375
└─└─

Analyse spatio-temporelle

Spatio-Temporal Analysis D062211 - N06.850.520.830.933.500
└─└─

Loi binomiale

Binomial Distribution D016010 - N06.850.520.830.994.250
└─└─

Loi du khi-deux

Chi-Square Distribution D016009 - N06.850.520.830.994.300
└─└─

Loi normale

Normal Distribution D016011 - N06.850.520.830.994.500
└─└─

Loi de Poisson

Poisson Distribution D016012 - N06.850.520.830.994.750
└─└─

Chaines de Markov

Markov Chains D008390 - N06.850.520.830.996.500
└─└─

Survie sans rechute

Disease-Free Survival D018572 - N06.850.520.830.998.300
└─└─

Estimation de Kaplan-Meier

Kaplan-Meier Estimate D053208 - N06.850.520.830.998.650
└─└─

Survie sans progression

Progression-Free Survival D000077982 - N06.850.520.830.998.825
└─└─

Modèles des risques proportionnels

Proportional Hazards Models D016016 - N06.850.520.830.998.912
└─└─└─

Analyse canonique des corrélations

Canonical Correlation Analysis D000089342 - N06.850.520.830.150.500.250
└─└─└─

Modèles économétriques

Models, Econometric D017059 - N06.850.520.830.500.600.500
└─└─└─

Facteurs de protection

Protective Factors D065840 - N06.850.520.830.600.800.582
└─└─└─

Appréciation des risques

Risk Assessment D018570 - N06.850.520.830.600.800.715
└─└─└─

Facteurs de risque

Risk Factors D012307 - N06.850.520.830.600.800.725
└─└─└─

Secteur de recensement

Census Tract D000091368 - N06.850.520.830.933.249.500
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Agrégat spatio-temporel

Space-Time Clustering D013029 - N06.850.520.830.933.500.500
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Analyse des modes de défaillance et de leurs effets en soins de santé

Healthcare Failure Mode and Effect Analysis D000067495 - N06.850.520.830.600.800.715.500
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Facteurs de risque de maladie cardiaque

Heart Disease Risk Factors D000082742 - N06.850.520.830.600.800.725.500
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Facteurs de risque cardiométabolique

Cardiometabolic Risk Factors D000083202 - N06.850.520.830.600.800.725.500.500
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Paradoxe de l'obésité

Obesity Paradox D000094408 - N06.850.520.830.600.800.725.500.750

Auteurs principaux

Henrik Zetterberg

4 publications dans cette catégorie

Affiliations :
  • Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Publications dans "Statistiques comme sujet" :

Hye-Jeong Choi

2 publications dans cette catégorie

Affiliations :
  • Georgia Center for Assessment, Department of Educational Psychology, University of Georgia, Athens, GA, United States.
Publications dans "Statistiques comme sujet" :

Seohyun Kim

2 publications dans cette catégorie

Affiliations :
  • Department of Psychology, University of Virginia, Charlottesville, VA, United States.
Publications dans "Statistiques comme sujet" :

Allan S Cohen

2 publications dans cette catégorie

Affiliations :
  • Georgia Center for Assessment, Department of Educational Psychology, University of Georgia, Athens, GA, United States.
Publications dans "Statistiques comme sujet" :

Jonathan Templin

2 publications dans cette catégorie

Affiliations :
  • Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA, United States.
Publications dans "Statistiques comme sujet" :

Yasemin Copur-Gencturk

2 publications dans cette catégorie

Affiliations :
  • Rossier School of Education, University of Southern California, Los Angeles, CA, United States.
Publications dans "Statistiques comme sujet" :

Priya Ranganathan

2 publications dans cette catégorie

Affiliations :
  • Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
Publications dans "Statistiques comme sujet" :

Kaj Blennow

2 publications dans cette catégorie

Affiliations :
  • Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.
Publications dans "Statistiques comme sujet" :

None None

2 publications dans cette catégorie

Publications dans "Statistiques comme sujet" :

Stephen Salloway

2 publications dans cette catégorie

Affiliations :
  • Alpert Medical School of Brown University, Providence, RI, USA.
  • Butler Hospital, Providence, RI, USA.
Publications dans "Statistiques comme sujet" :

Tejaswi D Sudhakar

2 publications dans cette catégorie

Affiliations :
  • University of Washington School of Medicine, Seattle, WA, USA.
Publications dans "Statistiques comme sujet" :

Swati Rane Levendovszky

2 publications dans cette catégorie

Affiliations :
  • University of Washington School of Medicine, Seattle, WA, USA.
Publications dans "Statistiques comme sujet" :

Everard G B Vijverberg

2 publications dans cette catégorie

Affiliations :
  • Alzheimer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Publications dans "Statistiques comme sujet" :

Regina Ey Kim

2 publications dans cette catégorie

Affiliations :
  • Research Institute, Neurophet Inc., Seoul, Korea Republic of (South).
Publications dans "Statistiques comme sujet" :

Hye Weon Kim

2 publications dans cette catégorie

Affiliations :
  • Research institute, seoul, Korea, Korea Republic of (South).
Publications dans "Statistiques comme sujet" :

Hasan Fallah Huseini

2 publications dans cette catégorie

Affiliations :
  • Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj, Iran.
Publications dans "Statistiques comme sujet" :

Maryam Yaghoobi

2 publications dans cette catégorie

Affiliations :
  • Clinical Research Unit, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Department of Epidemiology, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Publications dans "Statistiques comme sujet" :

Mojtaba Ziaee

2 publications dans cette catégorie

Affiliations :
  • Medicinal Plants Research Center, Maragheh University of Medical Sciences, Maragheh, Iran.
Publications dans "Statistiques comme sujet" :

Liana G Apostolova

2 publications dans cette catégorie

Affiliations :
  • Indiana University School of Medicine, Indianapolis, IN, USA.
Publications dans "Statistiques comme sujet" :

Marinos Pitsikalis

2 publications dans cette catégorie

Affiliations :
  • Industrial Chemistry Laboratory, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece. pitsikalis@chem.uoa.gr.
Publications dans "Statistiques comme sujet" :

Sources (5177 au total)

International Consensus on Standard Outcome Measures for Neurodevelopmental Disorders: A Consensus Statement.

03 Jun 2024
DOI: 10.1001/jamanetworkopen.2024.16760 PMID: 38869906

The use of evidence-based standardized outcome measures is increasingly recognized as key to guiding clinical decision-making in mental health. Implementation of these measures into clinical practice ... To develop a core set of outcome measures for specific neurodevelopmental disorders (NDDs), such as attention-deficit/hyperactivity disorder (ADHD), communication disorders, specific learning disorder... An international working group composed of clinical and research experts and service users (n = 27) was convened to develop a standard core set of accessible, valid, and reliable outcome measures for ... The final set recommends measuring 12 outcomes across 3 key domains: (1) core symptoms related to the diagnosis; (2) impact, functioning, and quality of life; and (3) common coexisting problems. The f... The NDD set covers outcomes of most concern to patients and caregivers. Use of the NDD set has the potential to improve clinical practice and research....

Humans Neurodevelopmental Disorders Child Consensus Outcome Assessment, Health Care +4 autres

Expert consensus on oncological [

Jan 2023
DOI: 10.1007/s00330-022-08960-8 PMID: 35751696

[... The consensus was summarized based on the published guidelines and peer-reviewed articles of TB PET/CT in the literature, along with the opinions of the experts from major research institutions with a... This consensus describes the protocols for routine and dynamic [... This expert consensus focuses on the reduction of acquisition time and FDG injected activity with a TB PET/CT scanner, which may improve the patient throughput or reduce the radiation exposure in dail... • [...

Humans Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Consensus Positron-Emission Tomography +2 autres

Screening of Glaucoma: Consensus and Directions.

01 Aug 2024
DOI: 10.1097/IJG.0000000000002449 PMID: 39149954

Glaucoma is a leading public health concern globally. This summary discusses barriers to glaucoma screening and novel strategies for a cost-effective glaucoma screening.... We discuss barriers to glaucoma screening and recent advancements in glaucoma detection and care, including targeted screening approach as well as telemedicine, genetic testing, and artificial intelli... Screening of glaucoma is challenging and changing. Recent advancements in digital technology and genetics have led to the development of tools that are promising for novel screening methodologies. Cli...

Humans Glaucoma Mass Screening Telemedicine Consensus +4 autres

The Shouldice Method: an expert's consensus.

02 2023
DOI: 10.1007/s10029-022-02658-y PMID: 35939246

Hernia repairs are a commonly performed surgical procedure and the Shouldice Repair of inguinal hernias has been well described before in terms of its outcomes. However, the purpose of this paper was ... Utilizing a Delphi Methodology, surgeons at Shouldice Hospital who are considered content experts, provided their answers on what is essential to the Shouldice Method. The median, interquartile range,... The final consensus for the Shouldice Method included 39 items with 7 overarching steps: preoperative preparation of the patient, anesthetic component, incision and nerve identification, treatment of ... The results of this consensus provide a step-by-step approach to the Shouldice Method, as well as information that is timely and can be utilized by surgeons incorporating non-mesh hernia repairs into ...

Humans Consensus Herniorrhaphy Surgical Mesh Hernia, Inguinal +2 autres

European Robotic Surgery Consensus (ERSC): Protocol for the development of a consensus in robotic training for gastrointestinal surgery trainees.

2024
DOI: 10.1371/journal.pone.0302648 PMID: 38820412

The rapid adoption of robotic surgical systems across Europe has led to a critical gap in training and credentialing for gastrointestinal (GI) surgeons. Currently, there is no existing standardised cu... In Stage 1, a Steering Committee, consisting of international experts, trainees and educationalists, has been established to lead and coordinate the consensus development process. In Stage 2, a system... The study protocol has been registered on the Open Science Framework (https://osf.io/br87d/)....

Robotic Surgical Procedures Humans Europe Consensus Curriculum +3 autres