Approaches to improve causal inference in physical activity epidemiology Lynch, BM, Dixon-Suen, Suzanne, Varela, AR, Yang, Y, English, DR, Ding, D, Gardiner, PA and Boyle, T 2020, Approaches to improve causal inference in physical activity epidemiology, Journal of Physical Activity and Health, vol. 17, no. 1, pp. 80-84, doi: 10.1123/jpah.2019-0515. Attached Files Name Description MIMEType Size Downloads Title Approaches to improve causal inference in physical activity epidemiology Author(s) Lynch, BM Dixon-Suen, Suzanne Varela, AR Yang, Y English, DR Ding, D Gardiner, PA Boyle, T Journal name Journal of Physical Activity and Health Volume number 17 Issue number 1 Start page 80 End page 84 Total pages 5 Publisher Human Kinetics Place of publication Champaign, Ill. Publication date 2020-01 ISSN 1543-3080 1543-5474 Keyword(s) biostatistics causal inference Life Sciences & Biomedicine methods potential outcomes approach Public, Environmental & Occupational Health Science & Technology Language eng DOI 10.1123/jpah.2019-0515 Field of Research 1106 Human Movement and Sports Sciences 1117 Public Health and Health Services 1302 Curriculum and Pedagogy HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30159060 Document type: Journal Article Collections: Faculty of Health School of Exercise and Nutrition Sciences Institute for Physical Activity and Nutrition Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 22 Nov 2021, 09:43:08 EST Mon, 22 Nov 2021, 15:17:32 EST Mon, 22 Nov 2021, 15:23:55 EST Fri, 26 Nov 2021, 15:14:40 EST Sat, 27 Nov 2021, 01:47:16 EST Fri, 14 Jan 2022, 14:53:57 EST Fri, 14 Jan 2022, 15:27:23 EST Fri, 14 Jan 2022, 15:32:45 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 27 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 22 Nov 2021, 09:43:08 EST