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Power analysis of trials with multilevel data
Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysi...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
CRC Press
2015
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Acceso en línea: | http://cds.cern.ch/record/2042946 |
_version_ | 1780947869000269824 |
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author | Moerbeek, Mirjam Teerenstra, Steven |
author_facet | Moerbeek, Mirjam Teerenstra, Steven |
author_sort | Moerbeek, Mirjam |
collection | CERN |
description | Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysis, and explains why they are necessary in trial design. It guides you in performing power calculations with hierarchical data, which enables more effective trial design.The authors are leading experts in the field who recognize that power analysis has attracted attention from applied statisticians i |
id | cern-2042946 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | CRC Press |
record_format | invenio |
spelling | cern-20429462021-04-21T20:07:07Zhttp://cds.cern.ch/record/2042946engMoerbeek, MirjamTeerenstra, StevenPower analysis of trials with multilevel dataMathematical Physics and MathematicsPower Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysis, and explains why they are necessary in trial design. It guides you in performing power calculations with hierarchical data, which enables more effective trial design.The authors are leading experts in the field who recognize that power analysis has attracted attention from applied statisticians iCRC Pressoai:cds.cern.ch:20429462015 |
spellingShingle | Mathematical Physics and Mathematics Moerbeek, Mirjam Teerenstra, Steven Power analysis of trials with multilevel data |
title | Power analysis of trials with multilevel data |
title_full | Power analysis of trials with multilevel data |
title_fullStr | Power analysis of trials with multilevel data |
title_full_unstemmed | Power analysis of trials with multilevel data |
title_short | Power analysis of trials with multilevel data |
title_sort | power analysis of trials with multilevel data |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2042946 |
work_keys_str_mv | AT moerbeekmirjam poweranalysisoftrialswithmultileveldata AT teerenstrasteven poweranalysisoftrialswithmultileveldata |