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1دورية أكاديمية
المؤلفون: Veronica Kariuki, Anthony Wanjoya, Oscar Ngesa, Mahmoud M. Mansour, Enayat M. Abd Elrazik, Ahmed Z. Afify
المصدر: AIMS Mathematics, Vol 9, Iss 6, Pp 15610-15638 (2024)
مصطلحات موضوعية: censored survival data, exponential distribution, survival regression model, hazard rate, maximum likelihood estimation, simulation, Mathematics, QA1-939
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2473-6988Test
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2دورية أكاديمية
المؤلفون: Daud Hussein Adawe, Dagne Tesfaye Mengistie
المصدر: BMC Research Notes, Vol 17, Iss 1, Pp 1-14 (2024)
مصطلحات موضوعية: Bacterial meningitis, Survival data, Parametric frailty model, AFT Model, Time to recovery, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1756-0500Test
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3دورية أكاديمية
المؤلفون: Chiou, Sy Han, Xu, Gongjun, Yan, Jun, Huang, Chiung-Yu
المصدر: Journal of Statistical Software. 105(5)
مصطلحات موضوعية: Mathematical Sciences, Statistics, event plot, frailty, joint model, mean cumulative function, simulation, survival data, Statistics & Probability
وصف الملف: application/pdf
الوصول الحر: https://escholarship.org/uc/item/52v8483mTest
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4رسالة جامعية
المؤلفون: Medina-Olivares, Víctor H.
المساهمون: Calabrese, Raffaella, Lindgren, Finn
مصطلحات موضوعية: Credit-Related Applications, Dynamic Prediction, money lending process, credit lifecycle, Survival models, survival analysis, joint models of longitudinal and survival data
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5مورد إلكتروني
المؤلفون: Cauchi, Mark
مصطلحات موضوعية: LSDSM, Joint Model, Longitudinal Data, Survival Data, EM Algorithm, Pulmonary Arterial Hypertension, State Space Model
العلاقة: https://orda.shef.ac.uk/articles/dataset/Data_on_Pulmonary_Arterial_Hypertension_supporting_the_paper_titled_Individualised_Survival_Predictions_using_State_Space_Model_with_Longitudinal_and_Survival_Data_/24573370Test; https://dx.doi.org/10.5281/zenodo.11210303Test
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6دورية أكاديمية
المؤلفون: Barbiero, Alessandro, Hitaj, Asmerilda
المساهمون: A. Barbiero, A. Hitaj
مصطلحات موضوعية: Count distribution, Cramér distance, cumulative distribution function, logistic distribution, survival data, Settore SECS-S/01 - Statistica, Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
العلاقة: volume:43; issue:1; firstpage:90; lastpage:107; numberofpages:18; journal:AMERICAN JOURNAL OF MATHEMATICAL AND MANAGEMENT SCIENCES; https://hdl.handle.net/2434/1048369Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85189203382
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7دورية أكاديمية
المؤلفون: Mbona, Sizwe Vincent, Mwambi, Henry, Ramroop, Shaun
مصطلحات موضوعية: Frailty, Hazards, MDR-TB, Risk factors, Survival data
وصف الملف: 8 p
العلاقة: The Open Public Health Journal; Vol. 16, Issue 1; Mbona, S.V., Mwambi, H. and Ramroop, S. 2023. The importance of the frailty effect in survival models: for multidrug-resistant tuberculosis data. The Open Public Health Journal. 16(1). doi:10.2174/18749445-v16-230912-2023-76; 1874-9445 (Online); https://hdl.handle.net/10321/5144Test
الإتاحة: https://doi.org/10.2174/18749445-v16-230912-2023-76Test
https://hdl.handle.net/10321/5144Test -
8دورية أكاديمية
المؤلفون: Jialing Liu, Chengxing Lu, Ziren Jiang, Demissie Alemayehu, Lei Nie, Haitao Chu
المصدر: Current Oncology, Vol 30, Iss 4, Pp 3964-3973 (2023)
مصطلحات موضوعية: platform trials, non-concurrent control, survival data analysis, master protocol, left truncation, right censoring, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
وصف الملف: electronic resource
العلاقة: https://www.mdpi.com/1718-7729/30/4/300Test; https://doaj.org/toc/1198-0052Test; https://doaj.org/toc/1718-7729Test
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9دورية أكاديمية
المؤلفون: Chalachew Gashu, Buzuneh Tasfa, Chekol Alemu, Yoseph Kassa
المصدر: BMC Women's Health, Vol 23, Iss 1, Pp 1-14 (2023)
مصطلحات موضوعية: Cervical cancer, Bayesian, Survival data analysis, Survival time, Integrated nested Laplace approximation, Gynecology and obstetrics, RG1-991, Public aspects of medicine, RA1-1270
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1472-6874Test
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10تقرير
المؤلفون: Devaux, Anthony, Proust-Lima, Cécile, Genuer, Robin
المساهمون: Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), The George Institute for Global Health Sydney (GIGH), The University of Sydney, University of New South Wales Sydney (UNSW), ANR-18-CE36-0004,DyMES,Modèles Dynamiques pour les Etudes Epidémiologiques Longitudinales sur les Maladies Chroniques(2018)
المصدر: https://hal.science/hal-03970683Test ; 2024.
مصطلحات موضوعية: dynamic prediction, survival data, competing risks, regression, classification, longitudinal predictors, random forests, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2302.02670; hal-03970683; https://hal.science/hal-03970683Test; https://hal.science/hal-03970683v2/documentTest; https://hal.science/hal-03970683v2/file/main_arxiv.pdfTest; ARXIV: 2302.02670