dc.contributor.author | Speakman, John R | |
dc.contributor.author | Fletcher, Quinn | |
dc.contributor.author | Vaanholt, Lobke | |
dc.date.accessioned | 2014-08-29T13:13:01Z | |
dc.date.available | 2014-08-29T13:13:01Z | |
dc.date.issued | 2013-03 | |
dc.identifier | 39298285 | |
dc.identifier | e301a2f1-0c61-4007-a7b1-c35373cf9db1 | |
dc.identifier | 23520145 | |
dc.identifier | 84875178453 | |
dc.identifier.citation | Speakman , J R , Fletcher , Q & Vaanholt , L 2013 , ' The '39 steps' : an algorithm for performing statistical analysis of data on energy intake and expenditure ' , Disease Models & Mechanisms , vol. 6 , no. 2 , pp. 293-301 . https://doi.org/10.1242/dmm.009860 | en |
dc.identifier.issn | 1754-8403 | |
dc.identifier.uri | http://hdl.handle.net/2164/3408 | |
dc.description | This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial Share Alike License (http://creativecommons.org/licenses/by-nc-sa/3.0), which permits unrestricted non-commercial use, distribution and reproduction in any medium provided that the original work is properly cited and all further distributions of the work or adaptation are subject to the same Creative Commons License terms. | en |
dc.format.extent | 9 | |
dc.format.extent | 734658 | |
dc.language.iso | eng | |
dc.relation.ispartof | Disease Models & Mechanisms | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | Algorithms | en |
dc.subject | Animals | en |
dc.subject | Body Weight | en |
dc.subject | Energy Intake | en |
dc.subject | Energy Metabolism | en |
dc.subject | Humans | en |
dc.subject | Statistics as Topic | en |
dc.subject | QH301 Biology | en |
dc.subject.lcc | QH301 | en |
dc.title | The '39 steps' : an algorithm for performing statistical analysis of data on energy intake and expenditure | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
dc.contributor.institution | University of Aberdeen.Energetics Research Group | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1242/dmm.009860 | |