Titre : Statistiques comme sujet

Statistiques comme sujet : Questions médicales fréquentes

Termes MeSH sélectionnés :

Intussusception

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": "Developing a nomogram to predict recurrent intussusception after pneumatic reduction of primary intussusception in children.", "datePublished": "2024-10-01", "url": "https://questionsmedicales.fr/article/39354481", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1186/s12893-024-02578-x" } }, { "@type": "ScholarlyArticle", "name": "A Surprising Lead Point in an Ileocolic Intussusception.", "datePublished": "2022-10-17", "url": "https://questionsmedicales.fr/article/36252058", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1097/PEC.0000000000002861" } }, { "@type": "ScholarlyArticle", "name": "Adult intussusception: a challenge to laparoscopic surgery?", "datePublished": "2022-11-30", "url": "https://questionsmedicales.fr/article/36518277", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.7717/peerj.14495" } }, { "@type": "ScholarlyArticle", "name": "Intussusception after colonoscopic polypectomy: a rare complication.", "datePublished": "2023-06-02", "url": "https://questionsmedicales.fr/article/37270178", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1136/bcr-2023-255048" } }, { "@type": "ScholarlyArticle", "name": "Sedation and Analgesia for Reduction of Pediatric Ileocolic Intussusception.", "datePublished": "2023-06-01", "url": "https://questionsmedicales.fr/article/37285152", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1001/jamanetworkopen.2023.17200" } } ], "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=Intussusception#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=Intussusception#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=Intussusception#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=Intussusception#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=Intussusception#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=Intussusception#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

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.

Seohyun Kim

2 publications dans cette catégorie

Affiliations :
  • Department of Psychology, University of Virginia, Charlottesville, VA, United States.

Allan S Cohen

2 publications dans cette catégorie

Affiliations :
  • Georgia Center for Assessment, Department of Educational Psychology, University of Georgia, Athens, GA, United States.

Jonathan Templin

2 publications dans cette catégorie

Affiliations :
  • Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA, United States.

Yasemin Copur-Gencturk

2 publications dans cette catégorie

Affiliations :
  • Rossier School of Education, University of Southern California, Los Angeles, CA, United States.

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 (433 au total)

Developing a nomogram to predict recurrent intussusception after pneumatic reduction of primary intussusception in children.

Intussusception is a common acute abdominal disease in children, often leading to acute ileus in infants and young children.... This study aimed to develop and validate a nomogram for predicting recurrent intussusception in children within 48 h after pneumatic reduction of primary intussusception.... Clinical data of children with acute intussusception admitted to multiple hospitals from March 2019 to March 2021 were retrospectively analyzed. The children were divided into a successful reductionco... A total of 2406 cases were included in this study, including 2198 control group and 208 RI group. In the total sample, 1684 cases were trained and 722 cases were verified. A logistic regression analys... In this study, a nomogram was developed based on clinical risk factors to predict recurrent intussusception following pneumatic reduction in children. Age, abdominal pain time, white blood cell counts...

Adult intussusception: a challenge to laparoscopic surgery?

Intussusception can occur at any age and is common in children but less common in adults. This study aimed to evaluate our experience of 51 adult intussusception and study the etiology, clinical manif... This analysis assessed the clinical manifestations, etiology, diagnosis, and treatment of adult intussusception in 51 adult patients at the Department of Gastrointestinal Surgery of China-Japan Union ... The mean age of the cohort was 54.43 ± 18.21 years, and 42 patients were diagnosed by abdominal ultrasonography and abdominal computed tomography (CT). Among them, 76.5% (39/51) had abdominal pain, 11... Adult intussusception is a rare disease in clinic. Laparoscopic surgery can be useful and safe for adult intussusception....

Sedation and Analgesia for Reduction of Pediatric Ileocolic Intussusception.

Ileocolic intussusception is an important cause of intestinal obstruction in children. Reduction of ileocolic intussusception using air or fluid enema is the standard of care. This likely distressing ... To characterize the prevalence of opioid analgesia and sedation and assess their association with intestinal perforation and failed reduction.... This cross-sectional study reviewed medical records of children aged 4 to 48 months with attempted reduction of ileocolic intussusception at 86 pediatric tertiary care institutions in 14 countries fro... Reduction of ileocolic intussusception.... The primary outcomes were opioid analgesia within 120 minutes of reduction based on the therapeutic window of IV morphine and sedation immediately before reduction of intussusception.... We included 3203 patients (median [IQR] age, 17 [9-27] months; 2054 of 3203 [64.1%] males). Opioid use was documented in 395 of 3134 patients (12.6%), sedation 334 of 3161 patients (10.6%), and opioid... This cross-sectional study of pediatric ileocolic intussusception found that more than two-thirds of patients received neither analgesia nor sedation. Neither was associated with intestinal perforatio...

Predictive Factors for Bowel Resection in Childhood Intussusception.

Intestinal intussusception is the most common cause of intestinal obstruction in infants and children under 3 years of age. Any delay in diagnosis or management can lead to intestinal ischaemia and pe... This is a retrospective analytical study of 118 patients operated at the Hassan II Hospital and University of Fez between 1 January 2008 and 1 January 2018. A comparison of risk factors between patien... One hundred and eighteen patients met the inclusion criteria. Of these, 44% had undergone bowel resection. Age >2 years (P = 0.006), duration of symptoms progression of more than 2 days (P = 0.002), b... Intussusception that occurs in child old than 2 years of age, or which has progressed for more than 2 days, is associated with an increased risk of intestinal resection....

Adult intussusception: a systematic review of current literature.

Intussusception in adults is a rare condition characterized by a low incidence, which complicates the establishment of standardized management protocols unlike those readily available for pediatric ca... A systematic search of databases was conducted covering the period from January 2000 to May 2024. The study focused on adult patients diagnosed with intussusception either pre-operatively or intraoper... In our study, a total of 1,902 patients were included from 59 selected articles, with a mean age of 52.13 ± 14.95 years. Among them, 1,920 intussusceptions were diagnosed, with 98.3% of cases identifi... Surgical management remains the cornerstone in treating adult intussusception, particularly in cases involving the colocolic type, where there is a significant risk of underlying malignancy. Attempts ...

Factors associated with surgical treatment in pediatric intussusception.

The study aimed to identify factors related to the need for surgical treatment of intussusception in pediatric patients.... The medical charts of 106 patients diagnosed with intussusception and treated at the Imam Khomeini Medical Center in Ahvaz city between September 2019 and October 2020 were retrospectively reviewed. P... The mean age in the group treated with surgery was significantly higher (p = 0.01). The duration of symptoms in patients treated with surgery was significantly higher (p = 0.033). The size of intussus... Age > 1 year, duration of symptoms > 24 h, currant jelly stool, intussusception > 3.5 cm, and free peritoneal fluid are factors associated with surgical treatment of intussusception in children....

Peutz-Jeghers syndrome: management for recurrent intussusceptions.

Peutz-Jeghers syndrome (PJS) is an autosomal dominant disorder characterized by hamartomatous gastrointestinal polyps along with the characteristic mucocutaneous freckling. Multiple surgeries for recu... From January 2015 to December 2023, we reviewed children of PJS, presented with recurrent intussusceptions. Data were collected regarding presentation, management, and follow-up with attention on mana... A total of nine patients were presented with age ranging from 4 to 17 years (median 9 years). A total of eighteen laparotomies were performed (7 outside, 11 at our centre). Among 11 laparotomies done ... Children with PJS have a high risk of multiple laparotomies due to polyps' complications. Considering the diffuse involvement of the gut, early decision of surgery and extensive bowel resection should...