Auswahl der wissenschaftlichen Literatur zum Thema „P-Value empirique“
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Zeitschriftenartikel zum Thema "P-Value empirique"
Da Silva Telles, Vera, Rafael Godoi, Juliana Machado Brito und Fabio Mallart. „COMBATENDO O ENCARCERAMENTO EM MASSA,LUTANDO PELA VIDA“. Caderno CRH 33 (19.12.2020): 020024. http://dx.doi.org/10.9771/ccrh.v33i0.32931.
Der volle Inhalt der QuelleIdakari, C. N., A. M. Efunshile, I. E. Akase, C. S. Osuagwu, P. Oshun und O. O. Oduyebo. „Evaluation of procalcitonin as a biomarker of bacterial sepsis in adult population in a tertiary healthcare facility in Lagos, Nigeria“. African Journal of Clinical and Experimental Microbiology 23, Nr. 2 (13.05.2022): 131–40. http://dx.doi.org/10.4314/ajcem.v23i2.
Der volle Inhalt der QuelleSubagiya, Bahrum. „Pengembangan kurikulum dan teori-teori belajar di program studi Pendidikan Agama Islam Universitas Ibn Khaldun Bogor“. Idarah Tarbawiyah: Journal of Management in Islamic Education 3, Nr. 2 (12.10.2022): 69. http://dx.doi.org/10.32832/itjmie.v3i2.7639.
Der volle Inhalt der QuelleRioux, Josée, Jenny Edwards, Lauren Bresee, Adrian Abu-Ulba, Stephen Yu, Deonne Dersch-Mills und Ben Wilson. „Nasal-Swab Results for Methicillin-Resistant Staphylococcus aureus and Associated Infections“. Canadian Journal of Hospital Pharmacy 70, Nr. 2 (28.04.2017). http://dx.doi.org/10.4212/cjhp.v70i2.1642.
Der volle Inhalt der QuelleTangedal, Kirsten, Jennifer Bolt, Suzanne Len und Ali Bell. „Baseline Competency Assessment of Pharmacists Prescribing and Managing Vancomycin Therapy in the Regina Qu’Appelle Health Region“. Canadian Journal of Hospital Pharmacy 70, Nr. 5 (30.10.2017). http://dx.doi.org/10.4212/cjhp.v70i5.1694.
Der volle Inhalt der QuellePeeters, Dominique, und Isabelle Thomas. „Optimal locations and distance prediction functions. Simulations based on an irregular lattice of points“. Les Cahiers Scientifiques du Transport - Scientific Papers in Transportation 31 | 1997 (31.03.1997). http://dx.doi.org/10.46298/cst.11949.
Der volle Inhalt der QuelleMerroun, Mohamed Ali, und Mhamed Hamiche. „ACCESS TO MICROCREDIT AND ITS IMPACT ON THE PERFORMANCE OF SMALL AND MEDIUM-SIZED ENTERPRISES: A LITERATURE REVIEW / ACCES AU MICROCREDIT ET A SES IMPACT SUR LA PERFORMANCE DES PETITES ET ENTREPRISES DE TAILLE MOYENNE : UNE REVUE DE LA LITTÉRATURE“. European Journal of Economic and Financial Research 7, Nr. 3 (10.08.2023). http://dx.doi.org/10.46827/ejefr.v7i3.1535.
Der volle Inhalt der QuelleDi Rienzo, Paolo, Aline Sommerhalder, Massimo Margottini und Concetta La Rocca. „Apprendimento permanente, saperi e competenze strategiche: approcci concettuali nel contesto di collaborazione scientifica tra Brasile e Italia (Lifelong learning, knowledge and Strategic Competence: conceptual approaches in the context of scientific collaboration between Brazil and Italy)“. Revista Eletrônica de Educação 12, Nr. 3 (07.10.2019). http://dx.doi.org/10.14244/198271993584.
Der volle Inhalt der QuelleDissertationen zum Thema "P-Value empirique"
Pluntz, Matthieu. „Sélection de variables en grande dimension par le Lasso et tests statistiques - application à la pharmacovigilance“. Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASR002.
Der volle Inhalt der QuelleVariable selection in high-dimensional regressions is a classic problem in health data analysis. It aims to identify a limited number of factors associated with a given health event among a large number of candidate variables such as genetic factors or environmental or drug exposures.The Lasso regression (Tibshirani, 1996) provides a series of sparse models where variables appear one after another depending on the regularization parameter's value. It requires a procedure for choosing this parameter and thus the associated model. In this thesis, we propose procedures for selecting one of the models of the Lasso path, which belong to or are inspired by the statistical testing paradigm. Thus, we aim to control the risk of selecting at least one false positive (Family-Wise Error Rate, FWER) unlike most existing post-processing methods of the Lasso, which accept false positives more easily.Our first proposal is a generalization of the Akaike Information Criterion (AIC) which we call the Extended AIC (EAIC). We penalize the log-likelihood of the model under consideration by its number of parameters weighted by a function of the total number of candidate variables and the targeted level of FWER but not the number of observations. We obtain this function by observing the relationship between comparing the information criteria of nested sub-models of a high-dimensional regression, and performing multiple likelihood ratio test, about which we prove an asymptotic property.Our second proposal is a test of the significance of a variable appearing on the Lasso path. Its null hypothesis depends on a set A of already selected variables and states that it contains all the active variables. As the test statistic, we aim to use the regularization parameter value from which a first variable outside A is selected by Lasso. This choice faces the fact that the null hypothesis is not specific enough to define the distribution of this statistic and thus its p-value. We solve this by replacing the statistic with its conditional p-value, which we define conditional on the non-penalized estimated coefficients of the model restricted to A. We estimate the conditional p-value with an algorithm that we call simulation-calibration, where we simulate outcome vectors and then calibrate them on the observed outcome‘s estimated coefficients. We adapt the calibration heuristically to the case of generalized linear models (binary and Poisson) in which it turns into an iterative and stochastic procedure. We prove that using our test controls the risk of selecting a false positive in linear models, both when the null hypothesis is verified and, under a correlation condition, when the set A does not contain all active variables.We evaluate the performance of both procedures through extensive simulation studies, which cover both the potential selection of a variable under the null hypothesis (or its equivalent for EAIC) and on the overall model selection procedure. We observe that our proposals compare well to their closest existing counterparts, the BIC and its extended versions for the EAIC, and Lockhart et al.'s (2014) covariance test for the simulation-calibration test. We also illustrate both procedures in the detection of exposures associated with drug-induced liver injuries (DILI) in the French national pharmacovigilance database (BNPV) by measuring their performance using the DILIrank reference set of known associations
NATALE, ELISA. „La value relevance: aspetti teorici e verifiche empiriche nel settore bancario europeo“. Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/77102.
Der volle Inhalt der QuellePORTA, SILVIA. „La scelta della Fair Value Option nello IAS 40: evidenze empiriche sul settore Real Estate“. Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266758.
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