Literatura académica sobre el tema "Multiple Stratification"
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Artículos de revistas sobre el tema "Multiple Stratification"
JOURDAIN, BENJAMIN, BERNARD LAPEYRE y PIERGIACOMO SABINO. "CONVENIENT MULTIPLE DIRECTIONS OF STRATIFICATION". International Journal of Theoretical and Applied Finance 14, n.º 06 (septiembre de 2011): 867–97. http://dx.doi.org/10.1142/s0219024911006772.
Texto completoOoi, Melissa Gaik-Ming, Sanjay de Mel y Wee Joo Chng. "Risk Stratification in Multiple Myeloma". Current Hematologic Malignancy Reports 11, n.º 2 (16 de febrero de 2016): 137–47. http://dx.doi.org/10.1007/s11899-016-0307-4.
Texto completoSkinner, C. J., D. J. Holmes y D. Holt. "Multiple Frame Sampling for Multivariate Stratification". International Statistical Review / Revue Internationale de Statistique 62, n.º 3 (diciembre de 1994): 333. http://dx.doi.org/10.2307/1403765.
Texto completoChang, Kuang-Chao, Jeng-Fu Liu y Chien-Pai Han. "Multiple inverse sampling in post-stratification". Journal of Statistical Planning and Inference 69, n.º 2 (junio de 1998): 209–27. http://dx.doi.org/10.1016/s0378-3758(97)00157-2.
Texto completoGharbi, Alya, Saloua Mrabet, Amina Nasri, Firas Larnaout, Amina Gargouri, Amina Gargouri, Imen Kacem y Riadh Gouider. "Prognostic Factors Stratification in Multiple Sclerosis". Multiple Sclerosis and Related Disorders 37 (enero de 2020): 101534. http://dx.doi.org/10.1016/j.msard.2019.11.009.
Texto completoGhaemsaidi, S. J., H. V. Dosser, L. Rainville y T. Peacock. "The impact of multiple layering on internal wave transmission". Journal of Fluid Mechanics 789 (25 de enero de 2016): 617–29. http://dx.doi.org/10.1017/jfm.2015.682.
Texto completoChang, Kuang-Chao, Chien-Pai Han y Doyle L. Hawkins. "Truncated multiple inverse sampling in post-stratification". Journal of Statistical Planning and Inference 76, n.º 1-2 (febrero de 1999): 215–34. http://dx.doi.org/10.1016/s0378-3758(98)00135-9.
Texto completoOntaneda, Daniel, Samuel Cohn y Robert J. Fox. "Risk stratification and mitigation in multiple sclerosis". Multiple Sclerosis and Related Disorders 3, n.º 5 (septiembre de 2014): 639–49. http://dx.doi.org/10.1016/j.msard.2014.05.003.
Texto completoHussain, Mohsin, Asad Mahmood, Rafia Mahmood, Hamid Iqbal, Ayesha Khurshid y Nabeela Khan. "Multiple Myeloma-Clinicopathological Features and Risk Stratification". Pakistan Armed Forces Medical Journal 72, SUPPL-2 (31 de mayo de 2022): S95–98. http://dx.doi.org/10.51253/pafmj.v72isuppl-2.3100.
Texto completovan de Donk, Niels W. C. J. y Pieter Sonneveld. "Diagnosis and Risk Stratification in Multiple Myeloma". Hematology/Oncology Clinics of North America 28, n.º 5 (octubre de 2014): 791–813. http://dx.doi.org/10.1016/j.hoc.2014.06.007.
Texto completoTesis sobre el tema "Multiple Stratification"
Tae, Yun-Jin. "Leisure constraints multiple hileararchy [sic] stratification perspectives /". Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1202500372.
Texto completoGhazali, Syed Shakir Ali. "Multiple stratification when one of the stratifying variables is time". Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316422.
Texto completoAgnelli, L. "IMPROVED RISK STRATIFICATION IN MULTIPLE MYELOMA USING A MICRORNA-BASED CLASSIFIER". Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/232961.
Texto completoChan, Yan Seng Esther. "Private education in China : a multiple-case study of social stratification and social change". Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608256.
Texto completoDzikiti, Loveness Nyaradzo. "Comparing approaches for combining data collected from multiple complex surveys, adjusting for clustering and stratification". Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/73137.
Texto completoThesis (PhD)--University of Pretoria, 2019.
The University of Pretoria Visiting Professor Programme The School of Health Systems and Public Health RESCOM
School of Health Systems and Public Health (SHSPH)
PhD (Public Health)
Unrestricted
Song, Brian. "Comprehensive Risk Stratification Model for Prognostication and Assisting with Therapeutic Decision-Making for Multiple Myeloma Patients". Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10839998.
Texto completoThe goal of the research is to improve current risk stratification models of multiple myeloma by developing a novel statistical decision algorithm. The increase in precision would assist in providing optimal treatments for multiple myeloma cancer patients depending on the risk of progression at the time of diagnosis. If progression of cancer is imminent, then risk-adapted therapy would be a considerable option. Larger amount of data supplied from multiple clinics were gathered to obtain better prognosis. The data are available from the Synapse website under the Multiple Myeloma DREAM Challenge site. Although both genomic variation data and gene expression data were available, the study was done with the latter in conjunction with general patient data. Preliminary research has shown that the microarray data were not standardized among the different clinics, so the study required additional preprocessing before aggregating all data for comprehensive investigation. Accelerated Time Failure model is used to screen insignificant variables for easier processing, reducing 17,308 markers to 4,503. A combination of random forest models and likelihood ratio test is utilized to further reduce potentially significant biomarkers. The remaining biomarkers are used in multiple statistical models to determine the optimal model that best represents the data. The efficacy of the model is checked by using two clinics to train the model to predict the third clinic. The average and standard deviation of the resulting statistics are used to validate the consistency of the model for different clinics. We show that an improvement in current risk stratification models can be obtained.
Bouaziz, Matthieu. "Statistical methods to account for different sources of bias in Genome-Wide association studies". Thesis, Evry-Val d'Essonne, 2012. http://www.theses.fr/2012EVRY0023/document.
Texto completoGenome-Wide association studies have become powerful tools to detect genetic variants associated with diseases. This PhD thesis focuses on several key aspects of the new computational and methodological problematics that have arisen with such research. The results of Genome-Wide association studies have been questioned, in part because of the bias induced by population stratification. Many stratégies are available to account for population stratification scenarios are highlighted in order to propose pratical guidelines to account for population stratification. We then focus on the inference of population structure that has many applications for genetic research. We have developed and present in this manuscript a new clustering algoritm called Spectral Hierarchical clustering for the Inference of Population Structure (SHIPS). This algorithm in the field to propose a comparison of their performances. Finally, the issue of multiple-testing in Genome-Wide association studies is discussed on several levels. We propose a review of the multiple-testing corrections and discuss their validity for different study settings. We then focus on deriving gene-wise interpretation of the findings that corresponds to multiple-stategy to obtain valid gene-disease association measures
Playford, C. J. "The role of families in the stratification of attainment : parental occupations, parental education and family structure in the 1990s". Thesis, University of Stirling, 2011. http://hdl.handle.net/1893/3600.
Texto completoLiublinska, Viktoriia. "Sensitivity Analyses in Empirical Studies Plagued with Missing Data". Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10898.
Texto completoStatistics
Talbot, Justin F. "Importance Resampling for Global Illumination". Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1021.pdf.
Texto completoLibros sobre el tema "Multiple Stratification"
Graham, Ian, Therese Cooney y Dirk De Bacquer. Risk stratification and risk assessment. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656653.003.0005.
Texto completoClarke, Colin. Decolonizing the Colonial City. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780199269815.001.0001.
Texto completoSinger, Mervyn. Pathophysiology and causes of pulmonary embolism. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0170.
Texto completoDelamont, Shane. Syncope. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0029.
Texto completoRay, Komal y Mark Bellamy. Hepatic and renal disease and anaesthesia. Editado por Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0085.
Texto completoGuest, Paul C. Multiplex Biomarker Techniques: Methods and Applications for COVID-19 Disease Diagnosis and Risk Stratification. Springer, 2022.
Buscar texto completoSilvers, Michael B. Voices of Drought. University of Illinois Press, 2018. http://dx.doi.org/10.5622/illinois/9780252042089.001.0001.
Texto completoBanerjee, Amitava y Kaleab Asrress. Prevention of cardiovascular disease. Editado por Patrick Davey y David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0343.
Texto completoLes zones grises des relations de travail et d’emploi. Teseo, 2019. http://dx.doi.org/10.55778/ts877231984.
Texto completoCapítulos de libros sobre el tema "Multiple Stratification"
Kumar, Shaji, Rafael Fonseca y Keith Stewart. "Molecular Classification and Risk Stratification". En Multiple Myeloma, 55–64. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8520-9_6.
Texto completoMateos, María-Victoria y Jesús San-Miguel. "Risk Stratification in Newly Diagnosed Smoldering Multiple Myeloma". En Personalized Therapy for Multiple Myeloma, 1–13. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61872-2_1.
Texto completoJagosky, Megan H., Alankrita Taneja y Manisha Bhutani. "Risk Stratification in Newly Diagnosed Transplant-Eligible Multiple Myeloma". En Personalized Therapy for Multiple Myeloma, 15–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61872-2_2.
Texto completoOffidani, Massimo, Laura Corvatta, Silvia Gentili, Elena Aghemo, Antonio Palumbo, Laura Maracci y Alessandra Larocca. "Risk Stratification in Newly Diagnosed Transplant Ineligible Multiple Myeloma". En Personalized Therapy for Multiple Myeloma, 37–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61872-2_3.
Texto completoCruciani, Federica, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Leticia Rittner, Massimiliano Calabrese y Gloria Menegaz. "Explainable 3D-CNN for Multiple Sclerosis Patients Stratification". En Pattern Recognition. ICPR International Workshops and Challenges, 103–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68796-0_8.
Texto completoGentili, Silvia y Sagar Lonial. "Risk Stratification and Response Assessment in Multiple Myeloma and Waldenström's Macroglobulinemia". En Cancer Consult: Expertise for Clinical Practice, 352–57. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118589199.ch55.
Texto completoGonzalez-Martinez, Sergio, María Fernanda Cabrera-Umpiérrez, Manuel Ottaviano, Vladimir Urošević, Nikola Vojičić, Stefan Spasojević y Ognjen Milićević. "Novel Interactive BRAINTEASER Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Management". En Lecture Notes in Computer Science, 302–10. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09593-1_26.
Texto completoJian, Lijun, Xiao Zeng y Jie Pei. "The Potential Force Interface Tension Model in MPS Method for Stratification Simulation". En Springer Proceedings in Physics, 288–96. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_27.
Texto completoLiu, Yuanliu, Pengpeng Zhao, Xu Zhou y Zhiming Cui. "A Multiple-Phase Stratification-Based Hierarchical Clustering Over a Deep Web Data Source". En Advances in Intelligent Systems and Computing, 395–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54924-3_37.
Texto completoCorre, Jill y Hervé Avet-Loiseau. "Prognostic Implication of Genetic Changes (Cytogenetics, and FISH, Gains and Losses of DNA by SNP Array and aCGH) in Risk Stratification in Myeloma". En Advances in Biology and Therapy of Multiple Myeloma, 25–39. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4666-8_2.
Texto completoActas de conferencias sobre el tema "Multiple Stratification"
Andavolu, Radhika Gade, Olivia Rodriguez, Anastasia Al Rubakovic, Catherine Stafford y Murthy V. Andavolu. "Abstract 3267: Combined effect of multiple gene polymorphisms on cancer risk stratification". En Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-3267.
Texto completoLiu, Ziyu, Wei Shao, Jie Zhang, Min Zhang y Kun Huang. "Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/380.
Texto completoAhn, Ji Soo, Michael Bluck, Matthew Eaton y Chris Jackson. "A Validation of RELAP on Predicting Nuclear Power Plant Phenomena". En 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81424.
Texto completoZhou, Chuan, Heang-Ping Chan, Lubomir M. Hadjiiski y Qian Dong. "Deep learning based risk stratification for treatment management of multiple myeloma with sequential MRI scans". En Computer-Aided Diagnosis, editado por Karen Drukker y Maciej A. Mazurowski. SPIE, 2021. http://dx.doi.org/10.1117/12.2582203.
Texto completoSajjad, Farasdaq Muchibbus, Steven Chandra, Patrick Ivan, Wingky Suganda, Yudi Budiansah y Alvin Derry Wirawan. "The Effect of Compositional Gradient in Field Development". En SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205801-ms.
Texto completoAbe, Satoshi, Masahiro Ishigaki, Yasuteru Sibamoto y Taisuke Yonomoto. "RANS and LES Analyses on a Density Stratified Layer Behavior of Multicomponent Gas by Buoyant Jet in a Small Vessel". En 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30020.
Texto completoJiang, Jinghua, Ying Li, Tianlin Wang, Lili Tong y Xuewu Cao. "Mixing and Stratification Phenomena Under Natural Convection in the Multi-Openings Compartment". En 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-90143.
Texto completoDoerr, Th, M. Blomeyer y D. K. Hennecke. "Optimization of Multiple Jets Mixing With a Confined Crossflow". En ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-313.
Texto completoMakarenko, Nikolai I. y Janna L. Maltseva. "Amplitude Bounds for Nonlinear Internal Waves". En ASME 2003 22nd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2003. http://dx.doi.org/10.1115/omae2003-37458.
Texto completoSgroi, D., P. Goss, L. Steffel, S. Lester, J. Brock, O. Hameed, E. Hattab, X. Ma y M. Erlander. "Comparison of risk stratification by OncotypeDX versus HOXB13/IL17BR index and molecular grade index in 166 estrogen receptor positive patients from multiple institutions." En CTRC-AACR San Antonio Breast Cancer Symposium: 2008 Abstracts. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-1072.
Texto completoInformes sobre el tema "Multiple Stratification"
Hicks, James, Herbert Lepor, Michael Wigler y Joan Alexander. Molecular Markers for Prostate Cancer Risk Stratification from Multiple Ultrasound-Guided Biopsies. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2014. http://dx.doi.org/10.21236/ada614118.
Texto completoHarter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan y Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, mayo de 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.
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