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[null,"1.","Record Nr.",null,"UNINA9910298317003321"]
[null,null,"Autore",null,"Dickhaus Thorsten"]
[null,null,"Titolo",null,"Simultaneous Statistical Inference : With Applications in the Life Sciences / / by Thorsten Dickhaus"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-642-45182-9"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (182 p.)"]
[null,null,"Disciplina",null,"006.312"]
[{"$nulls":4},"519.5"]
[{"$nulls":4},"570"]
[{"$nulls":4},"570.15195"]
[null,null,"Soggetti",null,"Biometry"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Biomathematics"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Biomedical engineering"]
[{"$nulls":4},"Biostatistics"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Mathematical and Computational Biology"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"The problem of simultaneous inference -- Part I General Theory -- Some theory of p-values -- Classes of multiple test procedures -- Simultaneous test procedures -- Stepwise rejective multiple tests -- Multiple testing and binary classification -- Multiple testing and model selection -- Software solutions for multiple hypotheses testing -- Part II From Genotype to Phenotype -- Genetic association studies -- Gene expression analyses -- Functional magnetic resonance imaging -- Part III Further Applications in the Life Sciences -- Further life science applications."]
[null,null,null,"Sommario/riassunto","This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate "]
[{"$nulls":4},"(FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover, new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students."]