Simultaneous Statistical Inference [electronic resource] :With Applications in the Life Sciences / by Thorsten Dickhaus.
by Dickhaus, Thorsten [author.]; SpringerLink (Online service).
Material type:
BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2014.Description: XIV, 180 p. 19 illus., 10 illus. in color. online resource.ISBN: 9783642451829.Subject(s): Life sciences | Data mining | Statistical methods | Mathematical statistics | Biomedical engineering | Life Sciences | Biostatistics | Statistical Theory and Methods | Mathematical and Computational Biology | Data Mining and Knowledge Discovery | Biomedical EngineeringDDC classification: 570.15195 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QH323.5 (Browse shelf) | Available |
Browsing MAIN LIBRARY Shelves Close shelf browser
| QH323.5 Biometric Recognition | QH323.5 Dispersal, Individual Movement and Spatial Ecology | QH323.5 Hysteresis Phenomena in Biology | QH323.5 Simultaneous Statistical Inference | QH323.5 Fractals in Biology and Medicine | QH323.5 Transport Equations in Biology | QH323.5 Single-Cell-Based Models in Biology and Medicine |
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.
This 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.
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