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010   $a3-642-45182-9
024 7 $a10.1007/978-3-642-45182-9
035   $a(CKB)2550000001199616
035   $a(EBL)1698221
035   $a(OCoLC)881161875
035   $a(SSID)ssj0001184897
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035   $a(PQKBTitleCode)TC0001184897
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035   $a(DE-He213)978-3-642-45182-9
035   $a(PPN)176117865
035   $a(EXLCZ)992550000001199616
100   $a20140123d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aSimultaneous statistical inference $ewith applications in the life sciences /$fby Thorsten Dickhaus
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (182 p.)
300   $aDescription based upon print version of record.
311   $a3-642-45181-0 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aThe 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.
330   $aThis monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (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.
606   $aBiometry
606   $aStatistics
606   $aBiomathematics
606   $aData mining
606   $aBiomedical engineering
606   $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
615  0$aBiometry.
615  0$aStatistics.
615  0$aBiomathematics.
615  0$aData mining.
615  0$aBiomedical engineering.
615 14$aBiostatistics.
615 24$aStatistical Theory and Methods.
615 24$aMathematical and Computational Biology.
615 24$aData Mining and Knowledge Discovery.
615 24$aBiomedical Engineering and Bioengineering.
676   $a006.312
676   $a519.5
676   $a570
676   $a570.15195
700   $aDickhaus$b Thorsten$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767932
906   $aBOOK
912   $a9910298317003321
996   $aSimultaneous Statistical Inference$92503019
997   $aUNINA