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Marginalized mixture models for count data from multiple source populations

View on ScienceDirect. Serial Volume Editors: Arni S. Srinivasa Rao Saumyadipta Pyne C. Hardcover ISBN: Imprint: North Holland. Published Date: 13th October Page Count: View all volumes in this series: Handbook of Statistics. For regional delivery times, please check When will I receive my book? Sorry, this product is currently out of stock. Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

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Presents a comprehensive, two-part volume written by leading subject experts Provides a unique breadth and depth of content coverage Addresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output. Powered by. You are connected as. Connect with:.

Use your name:. Thank you for posting a review! We value your input. Cancer Prevention Research , Difluoromethylornithine plus sulindac for the prevention of sporadic colorectal adenomas: a randomized placebo-controlled double-blind trial. A prospective study of mutations in the HFE gene and development of hereditary hemochromtosis disease. New England Journal of Medicine 3 , SNP selection for genes of iron metabolism: a study of genetic modifiers of hemochromatosis.

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BMC Medical Genetics , American Journal of Hematology , Mixture models of serum biochemical measures in screening for hemochromatosis and iron overload. Translational Research , New England Journal of Medicine , Nuclear morphometry of actinic keratosis and sun-damaged skin. Cancer Epidemiology, Biomarkers, and Prevention , Mixture Distribution analysis of phenotypic markers reflecting HFE gene mutations. Blood , The American Journal of the Medical Sciences , Maximum likelihood estimation of mixture densities for binned and truncated multivariate data.

Machine Learning , Relationship between transferrin saturation and iron stores in U. African-American and Caucasian Populations.

Medical Applications of Finite Mixture Models : Peter Schlattmann :

McLaren CE. Ascertainment of hemochromatosis Heterozygosity. Cambridge, England: Cambridge University Press; Patient-specific analysis of sequential haematological data by multiple linear regression and mixture distribution modelling. Statistics in Medicine , Long-term safety and effectiveness of iron-chelation therapy with deferiprone for thalassemia major.

Distribution of transferrin saturation in an Australian population: relevance to the early diagnosis of hemochromatosis. Gastroenterology , A Statistical approach to the selection of better laboratory tests.

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Laboratory Hematology , Mixture models in haematology: a series of case studies. Statistical Methods in Medical Research , Prevalence of heterozygotes for hemochromatosis in the white population of the United States. An Algorithm for the Likelihood Ratio Test of One versus two components in a normal mixture model fitted to grouped and truncated data.

Communications in Statistics: Simulation and Computation 24 4 , The generalized chi-square goodness-of-fit test. Analysis of red blood cell volume distributions using the ICSH reference method: detection of sequential changes in distributions determined by hydrodynamic focusing. Clin Lab Haematol 15 3 , Effect of iron chelation therapy on recovery from deep coma in children with cerebral malaria.

New Engl J Med 21 , Detection of two component mixtures of lognormal distributions in grouped doubly-truncated data.


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Biometrics 47 3 , Statistical and graphical evaluation of erythrocyte volume distributions. Analysis of the volume of red blood cells: application of the expectation-maximization algorithm to grouped data from the doubly-truncated lognormal distribution. Biometrics 42 1 , Statistical modelling of the distribution of red blood cell volumes in iron deficiency anemia using the expectation-maximization algorithm. Statistician 35 2 , McLaren, P. McLaren, Co-P. Meyskens, Jr. McLaren, G. McLaren multi P.

McLaren, Co-I. Safeway, Corp.

Finite Mixture Models

McLaren, Co-I, Biostatistician. Professional Societies. These applications are discussed in detail using real data from the medical literature. This impressive monograph attempts to cover the use of finite mixture models in a variety of biomedical problems, illustrated by appropriate case studies. Sen, International Statistical Review, Vol. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser.


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