On small sample experiments in neuro-imaging

Lars Kai Hansen

ISBN 10: 366843882X / ISBN 13: 9783668438828

Published by GRIN Verlag Apr 2017, 2017

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Technical Report from the year 1998 in the subject Mathematics - Statistics, grade: 1.0, Technical University of Denmark (Institute for Mathematical Modeling), language: English, abstract: Most human brain imaging experiments involve a number of subjects that is unusually low by accepted statistical standards. Although there are a number of practical reasons for using small samples in neuroimaging we need to face the question regarding whether results obtained with only a few subjects will generalise to a larger population. In this contribution we address this issue using a Bayesian framework, derive confidence intervals for small samples experiments, and discuss the issue of the prior. 28 pp. Englisch.

Seller Inventory # 9783668438828

Bibliographic Details

• Title: On small sample experiments in neuro-imaging
• Publisher: GRIN Verlag Apr 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 366843882X
• ISBN 13: 9783668438828
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 3D millimeters 210 millimeters width by 148 millimeters height by 3 millimeters depth
• Weight: 56 grams

About this title

Synopsis

Technical Report from the year 1998 in the subject Mathematics - Statistics, grade: 1.0, Technical University of Denmark (Institute for Mathematical Modeling), language: English, abstract: Most human brain imaging experiments involve a number of subjects that is unusually low by accepted statistical standards. Although there are a number of practical reasons for using small samples in neuroimaging we need to face the question regarding whether results obtained with only a few subjects will generalise to a larger population. In this contribution we address this issue using a Bayesian framework, derive confidence intervals for small samples experiments, and discuss the issue of the prior.