Zobrazeno 1 - 10 of 30 pro vyhledávání: '"MESH: Bias (Epidemiology)"'
1
Estimating penetrance from family data using a retrospective likelihood when ascertainment depends on genotype and age of onset
Autor: Catherine Bonaïti-Pellié, Jérôme Carayol
Publikováno v: Genetic Epidemiology
Genetic Epidemiology, Wiley, 2004, 27 (2), pp.109-17. ⟨10.1002/gepi.20007⟩
International audience; In diseases caused by deleterious gene mutations, knowledge of age-specific cumulative risks is necessary for medical management of mutation carriers. When pedigrees are ascertained through several affected persons, ascertainm
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a7a07384841d7230215f21873004092
https://doi.org/10.1002/gepi.20007
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2
Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects
Autor: Xavière Panhard, Adeline Samson
Publikováno v: Biostatistics
Biostatistics, 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. 〈10.1093/biostatistics/kxn020〉
Biostatistics, Oxford University Press (OUP), 2009, 10 (1), pp.121-35. ⟨10.1093/biostatistics/kxn020⟩
International audience; This article focuses on parameter estimation of multilevel nonlinear mixed-effects models (MNLMEMs). These models are used to analyze data presenting multiple hierarchical levels of grouping (cluster data, clinical trials with
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa9be0c749038a51c084b80c9d54f716
https://doi.org/10.1093/biostatistics/kxn020
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3
Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function
Autor: Marc Froissart, Pascal Houillier, Christian Jacquot, Jerome Rossert, Michel Paillard
Publikováno v: Journal of the American Society of Nephrology
Journal of the American Society of Nephrology, American Society of Nephrology, 2005, 16 (3), pp.763-73. ⟨10.1681/ASN.2004070549⟩
Journal of the American Society of Nephrology, 2005, 16 (3), pp.763-73. ⟨10.1681/ASN.2004070549⟩
Journal of the American Society of Nephrology, American Society of Nephrology, 2005, 16 (3), pp.763-73. 〈10.1681/ASN.2004070549〉
Recent recommendations emphasize the need to assess kidney function using creatinine-based predictive equations to optimize the care of patients with chronic kidney disease. The most widely used equations are the Cockcroft-Gault (CG) and the simplifi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e5e641af4c5212e9f4a95a08594c298
https://pubmed.ncbi.nlm.nih.gov/15659562
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4
Pitch Comparisons between Electrical Stimulation of a Cochlear Implant and Acoustic Stimuli Presented to a Normal-hearing Contralateral Ear
Autor: Patrick R. Axon, Xavier Barreau, Johan H. M. Frijns, Olivier Macherey, Robert P. Carlyon, David M. Baguley, Randy K. Kalkman, Jeroen J. Briaire, John M. Deeks, John A. G. Briggs, Rene Dauman, Patrick Boyle
Publikováno v: Journal of the Association for Research in Otolaryngology, 11(4), 625-640
JARO: Journal of the Association for Research in Otolaryngology
Journal of the Association for Research in Otolaryngology
Journal of the Association for Research in Otolaryngology, Springer Verlag, 2010, 11 (4), pp.625-40. ⟨10.1007/s10162-010-0222-7⟩
International audience; Four cochlear implant users, having normal hearing in the unimplanted ear, compared the pitches of electrical and acoustic stimuli presented to the two ears. Comparisons were between 1,031-pps pulse trains and pure tones or be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924e6e40ac41e99ea1e8295e165af40f
http://hdl.handle.net/1887/109049
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5
Antithrombotic medications and recurrent miscarriage
Autor: Kitty W. M. Bloemenkamp, Jantien Visser, Danielle Cohen
Publikováno v: New England Journal of Medicine
New England Journal of Medicine, Massachusetts Medical Society, 2010, 363 (9), 887; author reply 888. ⟨10.1056/NEJMc1006787⟩
International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c282b4436963748b488e979741f11cc
https://hal.univ-brest.fr/hal-00690768
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6
L2-Boosting algorithm applied to high-dimensional problems in genomic selection
Autor: Kent A. Weigel, Hugo Naya, Oscar González-Recio, Daniel Gianola, Guilherme J. M. Rosa
Publikováno v: Repositorio de Resultados de Investigación del INIA
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA
Genetical Research
Genetical Research, 2010, 92 (3), pp.227-37. ⟨10.1017/S0016672310000261⟩
INIA: Repositorio de Resultados de Investigación del INIA
SummaryTheL2-Boosting algorithm is one of the most promising machine-learning techniques that has appeared in recent decades. It may be applied to high-dimensional problems such as whole-genome studies, and it is relatively simple from a computationa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::960c99c947a57485a510be9b6cf19066
http://hdl.handle.net/20.500.12792/1967
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7
Bias and evolution of the mutationally accessible phenotypic space in a developmental system
Autor: Marie-Anne Félix, Charles F. Baer, Christian Braendle
Publikováno v: PLoS Genetics
PLoS Genetics, Public Library of Science, 2010, 6 (3), pp.e1000877. ⟨10.1371/journal.pgen.1000877⟩
PLoS Genetics, Vol 6, Iss 3, p e1000877 (2010)
Genetic and developmental architecture may bias the mutationally available phenotypic spectrum. Although such asymmetries in the introduction of variation may influence possible evolutionary trajectories, we lack quantitative characterization of bias
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0cdba313b3f7fdb32442c3fd46683fb
https://hal.archives-ouvertes.fr/hal-00497202
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8
PEL: an unbiased method for estimating age-dependent genetic disease risk from pedigree data unselected for family history
Autor: Catherine Bonaïti-Pellié, Violaine Planté-Bordeneuve, Catherine Bourgain, Dominique Stoppa-Lyonnet, Flora Alarcon, Marion Gauthier-Villars
Publikováno v: Genetic Epidemiology
Genetic Epidemiology, Wiley, 2009, 33 (5), pp.379-85. ⟨10.1002/gepi.20390⟩
Genetic Epidemiology, 2009, 33 (5), pp.379-85. ⟨10.1002/gepi.20390⟩
Genetic Epidemiology, Wiley, 2009, 33 (5), pp.379-85. 〈10.1002/gepi.20390〉
International audience; Providing valid risk estimates of a genetic disease with variable age of onset is a major challenge for prevention strategies. When data are obtained from pedigrees ascertained through affected individuals, an adjustment for a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f3bbd3d5d2b17a171fdf745037945a
https://www.hal.inserm.fr/inserm-00358140/file/inserm-00358140_edited.pdf
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9
Preventing bias in cluster randomised trials
Autor: Bruno Giraudeau, Philippe Ravaud
Publikováno v: PLoS Medicine
PLoS Medicine, Public Library of Science, 2009, 6 (5), pp.e1000065. ⟨10.1371/journal.pmed.1000065⟩
PLoS Medicine, Vol 6, Iss 5, p e1000065 (2009)
Bruno Giraudeau and Philippe Ravaud discuss the difficulties in preventing selection bias and applying intention-to-treat analysis in cluster randomized trials, and propose some solutions.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e634c0283037ad3547049314a7453d71
https://www.hal.inserm.fr/inserm-00700524/document
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10
Fisher information matrix for nonlinear mixed effects multiple response models: evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model
Autor: Caroline Bazzoli, Sylvie Retout
Publikováno v: Statistics in Medicine
Statistics in Medicine, Wiley-Blackwell, 2009, 28 (14), pp.1940-56. ⟨10.1002/sim.3573⟩
International audience; We focus on the Fisher information matrix used for design evaluation and optimization in nonlinear mixed effects multiple response models. We evaluate the appropriateness of its expression computed by linearization as proposed
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21f6ace1860ead9ddec17de8d83968e8
https://pubmed.ncbi.nlm.nih.gov/19266541
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