Добірка наукової літератури з теми "Facteur de confusion"
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Статті в журналах з теми "Facteur de confusion":
Hardelin, Jean-Pierre. "Facteur « confondant » ou de confusion." médecine/sciences 40, no. 4 (April 2024): 381. http://dx.doi.org/10.1051/medsci/2024036.
Ezzatian, Payam, Margaret Kathleen Pichora-Fuller, and Bruce A. Schneider. "Do Circadian Rhythms Affect Adult Age-Related Differences in Auditory Performance?" Canadian Journal on Aging / La Revue canadienne du vieillissement 29, no. 2 (April 26, 2010): 215–21. http://dx.doi.org/10.1017/s0714980810000139.
Du Thanh, A., L. Lasch, G. Rathat, O. Dereure, and A. Rafii. "Le psoriasis est un facteur de confusion dans le suivi biologique du cancer du col utérin." Annales de Dermatologie et de Vénéréologie 142, no. 12 (December 2015): S570—S571. http://dx.doi.org/10.1016/j.annder.2015.10.313.
Maréchal, I., C. Hallais, H. Daubert, M. H. Roux, V. Josset, L. Froment, and P. Czernichow. "Suivi des transfusions de concentrés de globules rouges (CGR) dans les établissements de santé : l’activité médicalisée est un facteur de confusion." Revue d'Épidémiologie et de Santé Publique 56, no. 1 (April 2008): 48. http://dx.doi.org/10.1016/j.respe.2008.02.095.
Etard, Olivier, Sandrine Cremona, Christophe Tzourio, and Marc Joliot. "La somnolence lors des études en IRMf de repos est un facteur de confusion majeur pour l’analyse de la connectivité cérébrale." Médecine du Sommeil 20, no. 1 (March 2023): 12. http://dx.doi.org/10.1016/j.msom.2023.01.175.
Bourdages, Rosalie, and Denis Foucambert. "Regard sur les dimensions sous-jacentes dans les épreuves de conscience morphologique." SHS Web of Conferences 46 (2018): 10012. http://dx.doi.org/10.1051/shsconf/20184610012.
Graziani, Pierluigi. "La consommation excessive d’alcool chez la personne âgée." Drogues, santé et société 9, no. 2 (July 21, 2011): 49–74. http://dx.doi.org/10.7202/1005300ar.
Le Gall, Michel, Martine Philippart-Rochaix, and Camille Philip-Alliez. "Échec dans la réhabilitation antérieure en cas d’agénésies des incisives latérales maxillaires." L'Orthodontie Française 87, no. 1 (March 2016): 59–66. http://dx.doi.org/10.1051/orthodfr/2016019.
Lamy, S., M. Maurel, P. Grosclaude, F. Despas, G. Laurent, B. Lepage, and C. Delpierre. "Effet causal des comorbidités sur la survie des patients traités pour lymphomes B diffus à grandes cellules en ex-région Midi-Pyrénées en présence de facteur de confusion intermédiaire dépendant de l’exposition." Revue d'Épidémiologie et de Santé Publique 67 (May 2019): S133. http://dx.doi.org/10.1016/j.respe.2019.03.098.
Guldner, C., M. Mohamed, X. Laqueille, M. C. Bourdel, and A. Dervaux. "Tempérament affectif et alcoolo-dépendance : influence de la dépression." European Psychiatry 30, S2 (November 2015): S105. http://dx.doi.org/10.1016/j.eurpsy.2015.09.197.
Дисертації з теми "Facteur de confusion":
Falquier, Jean-François. "Confusion mentale aigue͏̈ : aspects prédictifs chez le sujet âgé hospitalisé." Bordeaux 2, 2000. http://www.theses.fr/2000BOR2M080.
Pressat-Laffouilhère, Thibaut. "Modèle ontologique formel, un appui à la sélection des variables pour la construction des modèles multivariés." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR104.
Responding to a causal research question in the context of observational studies requires the selection ofconfounding variables. Integrating them into a multivariate model as co-variables helps reduce bias in estimatingthe true causal effect of exposure on the outcome. Identification is achieved through causal diagrams (CDs) ordirected acyclic graphs (DAGs). These representations, composed of nodes and directed arcs, prevent theselection of variables that would introduce bias, such as mediating and colliding variables. However, existingmethods for constructing CDs lack systematic approaches and exhibit limitations in terms of formalism,expressiveness, and completeness. To offer a formal and comprehensive framework capable of representing allnecessary information for variable selection on an enriched CD, analyzing this CD, and, most importantly,explaining the analysis results, we propose utilizing an ontological model enriched with inference rules. Anontological model allows for representing knowledge in the form of an expressive and formal graph consisting ofclasses and relations similar to the nodes and arcs of Cds. We developed the OntoBioStat (OBS) ontology basedon a list of competency questions about variable selection and an analysis of scientific literature on CDs andontologies. The construction framework of OBS is richer than that of a CD, incorporating implicit elements likenecessary causes, study context, uncertainty in knowledge, and data quality. To evaluate the contribution of OBS,we used it to represent variables from a published observational study and compared its conclusions with thoseof a CD. OBS identified new confounding variables due to its different construction framework and the axiomsand inference rules. OBS was also used to represent an ongoing retrospective study analysis. The modelexplained statistical correlations found between study variables and highlighted potential confounding variablesand their possible substitutes (proxies). Information on data quality and causal relation uncertainty facilitatedproposing sensitivity analyses, enhancing the study's conclusion robustness. Finally, inferences were explainedthrough the reasoning capabilities provided by OBS's formal representation. Ultimately, OBS will be integratedinto statistical analysis tools to leverage existing libraries for variable selection, making it accessible toepidemiologists and biostatisticians
Pilkington, Hugo. "Les lieux du paludisme : approche géographique des facteurs de confusion dans une enquête d'épidémiologie du paludisme (Dienga, Gabon)." Paris 1, 2004. http://www.theses.fr/2004PA010713.
Gault, Nathalie. "Plans expérimentaux de type self-controlled en pharmacoépidémiologie." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCC115/document.
Pharmacoepidemiology consists in the study of efficacy or safety of drugs in real life, with the use more and more frequently of medico-administrative databases. Study designs are generally observational, thus they are prone to confounding bias. Confounders are not systematically collected in databases, which are implemented for other purposes than research. Self-controlled designs (mainly represented by case-crossover and self-controlled case-series, and in which the patient acts as his own control), have been developed for the study of intermittent exposure with short-term effect on abrupt onset event. They require that validity assumptions being fulfilled. They consist in the comparison over different periods, rather than different groups of patients, thus allowing for confounding factors, also if not measured, which are invariant over observed periods. Such designs have been proved useful in observational studies in the absence of randomization, and their implementation is recommended in case of validity assumptions are fulfilled. We studied their frequency of use in pharmacoepidemiology in healthcare databases, missed opportunities for use, inappropriate use with respect to validity assumptions, as well as quality of reporting. We showed that self-controlled designs are rarely used, that opportunity for use was founds in 15% of articles where such methods could have been implemented, that 34% of case-crossover and 13% of self-controlled case series were inappropriately used, and that the method could have been adapted to be valid in 16% of articles. A more appropriate use of self-controlled designs could contribute to improve investigation in pharmacoepidemiology, while beneficiating from their advantages, especially in healthcare databases
Le, Borgne Florent. "Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT." Thesis, Nantes, 2016. http://www.theses.fr/2016NANT1003/document.
In medical research, cohorts help to better understandthe evolution of a pathology and improve the care ofpatients. Causal associations between risk factors andoutcomes are regularly studied through etiological studies. Cohorts analysis also allow the identification of new markers for the prediction of the patient evolution.However, confounding factors are often source of bias in the interpretation of the results of etiologic or prognostic studies.In this manuscript, we presented two research works in Biostatistics, the common topic being propensity scores.In the first work, we compared the performances of different models allowing to evaluate the causality of an exposure on an outcome in the presence of rightc ensored data. In the second work, we proposed anestimator of standardized and weighted time-dependentROC curves. This estimator provides a measure of theprognostic capacities of a marker by taking into accountthe possible confounding factors. Consistent with our objective to provide adapted statistical tools, we also present in this manuscript an application, so-calledPlug-Stat®. Directly linked with the database, it allows toperform statistical analyses adapted to the pathology in order to facilitate epidemiological studies and improve the valorization of data from observational cohorts
Pirrachio, Romain. "Méthodologies d'inférence causale appliquées à l'analyse de données observationnelles de réanimation." Paris 7, 2012. http://www.theses.fr/2012PA077023.
Benefit of Intensive Care Unit cannot be evaluated by performing randomized controlled trials, and therefore rely on observational studies. Standard analyses cannot be used to draw causal conclusions. Hence, specific statistical methods have been developed over the past decades in order to draw causal conclusions from observational data. Most of these methods rely on modelling the probability of treatment, the most popular being the propensity score. The first part of the thesis is dedicated to a review of the literature focussing on the use of thèse methods in the major Anesthesiology and Critical Care journals. We then focussed on the potential limitations related to the use of the propensity score. We first evaluated the performance of this method in the context of small sample size or low prevalence of the treatment. We then evaluated the generalized propensity approach as an option for the estimation of treatments with more than two categories. The presence of time-dependant confoundings cannot be handled by propensity score methods. Therefore, we evaluated thé use of marginal structural model as an alternative to propensity score in case of time-dependant confoundings. Finally, because all methods based on probability-of-treatment models rely on the hypothesis of absence of unmeasured confoundings, the last section of this thesis was dedicated to the use of instrumental variable approach when the presence of unmeasured confoundings can be suspected
Sarlon, Emmanuelle. "Stratégies palliatives à la non-randomisation en santé mentale : score de propension et techniques d'ajustement apparentées. Méthodologie appliquée à la prise en compte des facteurs de confusion dans le cas de la schizophrénie." Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-00934619.
Sarlon, Emmanuelle. "Stratégies palliatives à la non-randomisation en santé mentale : score de propension et techniques d’ajustement apparentées. Méthodologie appliquée à la prise en compte des facteurs de confusion dans le cas de la schizophrénie." Thesis, Paris 11, 2014. http://www.theses.fr/2013PA11T103/document.
Objective : To evaluate control methods for measured or unmeasured confusion bias, in observational situation of psychotic or schizophrenic patients. Methods : Propensity score method (for measured confusion bias) and analyses of sensibility (for unmeasured confusion bias) were applied in the field of psychiatric epidemiology, specifically in schizophrenia. In first, the question of residual bias was underlined by the results of a transversal study. The exposition at a contextual parameter (prison) was studied in link with psychotic disorders (DSM IV), with a classic control method.Second, to lead to an unbiased estimation of treatment effect, we compared a classic control method with a method based on propensity score. These approach were applied to a cohort of French schizophrenic patients where we studied the event (relapse) by the treatment exposition (polypharmacy or not).Third, we developed a synthesis on modelisation of uncertainty and non-measured confusion bias. Theories and methods were described, and then applied on results of previous studies. Results : The transversal study, with non-demonstrated results still then, allow us to reach the question of control quality in the case of exposition to a parameter in observational situation. The cohort study permit to compare a classic control method and propensity score (PS). We highlighted different results according to some control method. Stratification method on PS seemed to be the best method to predict relapse according to treatment exposition. Non-measured bias control methods were then described. And a combination of probabilistic methods was applied to the previous studies. Conclusion : In the case of observational studies, the objective was to study, to describe and to apply modelisation methods to take in account differences at baseline, potentially source of confusion bias. This research is at the crossroads of methodology, biostatistics and epidemiology
Caye, Kévin. "Méthodes de factorisation matricielle pour la génomique des populations et les tests d'association." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAS046/document.
We present statistical methods based on matrix factorization problems. A first method allows efficient inference of population structure from genetic data and including geographic proximity information. A second method corrects the association studies for confounding factors. We present in this manuscript the models, as well as the theoretical aspects of the inference algorithms. Moreover, using numerical simulations, we compare the performance of our methods with those of existing methods. Finally, we use our methods on real biological data. Our methods have been implemented and distributed as R packages: tess3r and lfmm
Coulaud, Romain. "Modélisation et changements d'échelles pour l'évaluation écotoxicologique : application à deux macroinvertébrés aquatiques, Gammarus fossarum (crustacé amphipode) et potamopyrgus antipodarum (mollusque gastéropode)." Thesis, Lyon 1, 2012. http://www.theses.fr/2012LYO10018/document.
The regulatory framework lead to increase the assessments of the ecological risk linked to the dischaarge of chemical substances in aquatic environment with the aim to protect natural populations. However, this target level of protection cannot be used so easily to etablish a direcet link between a contamination and its effects. In order to overcome this difficulty, the multi-scale approaches based on the study of the effects of the contaminations on individual markers and then on the extrapolation of these effects at the population level with population dynamic models reprensent promising tools and start to bewell accepted in predictive processes. Yet, their use for the diagnosis of water quality remainsrare for the moment, on the one hand, because of the important varaibility of answers of individual makers in situ linked to the influence of diverse confounding environmental factors for the assessments of toxicity and, on the other hand, because pf the lack of environmental relevance of models currently proposed. Focused on the use of 2 species widely observed in European rivers and presenting contrastingecological and phylogenetic characteristics : the Grammar fossarum crutacean and the Potamopyrgus antipodarum mollusc, this doctoral degree first propose a methodology to consider the influenceof confounding factors in order to improve the reading of biological in situ tests based on the measurment of individual markers on caged organisms and second, to develop ecologically relevant population models. Thus, this work allowed to underline the importance of the consideration of confounding factors (i.e. temperature), in different in situ tests based on the measurment of individul markers on caged organisms. Moreover, population models for both species have been defined in order to test the influence of life histories and seasonal variations on demographic sensitivity of populations
Книги з теми "Facteur de confusion":
Sergio, Garcia. The college savings factor: Cutting through the confusion of college savings. McAllen, Texas: Green Jay Publishing, 2015.
Sprigings, David. Delirium (acute confusional state). Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0041.
Newby, P. K. Food and Nutrition. Oxford University Press, 2018. http://dx.doi.org/10.1093/wentk/9780190846640.001.0001.
Частини книг з теми "Facteur de confusion":
Yurtsal, Z. Burcu, and Dilek Uslu. "Sexual Aspects of Breastfeeding and Lactation." In Midwifery and Sexuality, 99–111. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18432-1_9.
Ahlskog, J. Eric. "Dementia: Impaired Thinking and Judgment; Confusion." In Dementia with Lewy Body and Parkinson's Disease Patients. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199977567.003.0020.
Fhima, Ilanah, and Dev S. Gangjee. "Similarity of Goods and Services." In The Confusion Test in European Trade Mark Law. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199674336.003.0004.
Fhima, Ilanah, and Dev S. Gangjee. "Distinctiveness of the Marks." In The Confusion Test in European Trade Mark Law. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199674336.003.0005.
Hughes, Meghan C., and Alaa Abd-Elsayed. "Congenital and Acquired Factor Deficiencies." In Advanced Anesthesia Review, edited by Alaa Abd-Elsayed, 454—C173.S8. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197584521.003.0172.
Ardyan, Elia, and Vincent Didiek Wiet Aryanto. "The Importance of Electronics News Brand Trust." In Driving Innovation and Business Success in the Digital Economy, 99–118. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1779-5.ch008.
Ardyan, Elia, and Vincent Didiek Wiet Aryanto. "The Importance of Electronics News Brand Trust." In Global Branding, 537–56. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9282-2.ch025.
Kahn, R. "ADP-ribosylation factor (ARF)." In Secretory Pathway, 181. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198599425.003.0112.
Weiss, David J. "Nested Designs." In Analysis of Variance and Functional Measurement, 142–60. Oxford University PressNew York, NY, 2005. http://dx.doi.org/10.1093/oso/9780195183153.003.0011.
Johannes Bengs, Christer. "A Panglossian Dilemma." In Ubiquitous Computing [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95944.
Тези доповідей конференцій з теми "Facteur de confusion":
Davison, Craig R. "Laplace Correction of Confusion Matrices to Produce Statistically Representative Confidence Intervals." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22213.
Sumiati, Eugenia Audrey, Agung Triayudi, and Lia Kamelia. "Application of Certainty Factor Method to Diagnose Venereal Diseases Using Confusion Matrix for Multi-Class Classification." In 2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE, 2022. http://dx.doi.org/10.1109/tssa56819.2022.10063893.
Flandin, Simon, Olivia Scannell, Elleke Ketelaars, and Germain Poizat. "Negative Capability: A Human Factor of Resilience for Crisis Management and a Valuable Training and Intervention Objective." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003606.
Thibos, Larry N., and David J. Walsh. "Detection of high frequency gratings in the periphery." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.thh4.
Qianqian, Jia, Guo Chao, Li Jianghai, and Qu Ronghong. "Verification of Alarm Displays for the Nuclear Power Plant With Two Modular High-Temperature Gas-Cooled Reactors." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82561.
Masory, Oren. "Sharing Tracks With High Speed Trains in Urban Area: Risk due to Drivers and Pedestrian Perception." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8106.
Surovi, Nowrin Akter, Shaista Hussain, and Gim Song Soh. "A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89164.
Ren, Weiju. "Demystifying the 1.1 Factor for Tensile Strength Above Room Temperature in Development of the Boiler Code Stress Tables." In ASME 2022 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/pvp2022-84248.
Schwarz, Clemens, and Johannes Braukmann. "Practical Aspects of Designing Background-oriented Schlieren (BOS) Experiments for Vortex Measurements." In Vertical Flight Society 78th Annual Forum & Technology Display. The Vertical Flight Society, 2022. http://dx.doi.org/10.4050/f-0078-2022-17637.
Castegnaro, Stefano. "A Critical Analysis of the Differences Among Design Methods for Low-Speed Axial Fans." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64276.