References
- Abdi H, Williams LJ, Valentin D. 2013. Multiple factor analysis: principal component analysis for multitable and multiblock data sets. WIREs Comput Stat. 5(2):149–179. doi:https://doi.org/10.1002/wics.1246.
- Akubat I, Patel E, Barrett S, Abt G. 2012. Methods of monitoring the training and match load and their relationship to changes in fitness in professional youth soccer players. J Sports Sci. 30(14):1473–1480. doi:https://doi.org/10.1080/02640414.2012.712711.
- Coutts AJ. 2016. Working fast and working slow: the benefits of embedding research in high-performance sport. Int J Sports Physiol Perform. 11(1):1–2. doi:https://doi.org/10.1123/IJSPP.2015-0781.
- Fitzpatrick JF, Hicks KM, Hayes PR. 2018. Dose-response relationship between training load and changes in aerobic fitness in professional youth soccer players. Int J Sports Physiol Perform. 19:1–6.
- Lolli. L, Batterham AM, Hawkins R, Kelly DM, Strudwick AJ, Thorpe RT, Gregson W, Atkinson G. 2018. The acute-to-chronic workload ratio: an inaccurate scaling index for an unnecessary normalisation process? Br J Sports Med. 53(24):1510–1512. doi:https://doi.org/10.1136/bjsports-2017-098884.
- McLaren SJ, Macpherson TW, Coutts AJ, Hurst C, Spears IR, Weston M. 2018. The relationships between internal and external measures of training load and intensity in team sports: a meta-analysis. Sports Med. 48(3):641–658. doi:https://doi.org/10.1007/s40279-017-0830-z.
- Owen AL, Djaoui L, Newton M, Malone S, Mendes B. 2017. A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer. Sci Med Football. 1(3):216–221. doi:https://doi.org/10.1080/24733938.2017.1334958.
- Oxendale CL, Twist C, Daniels M, Highton J. 2016. The relationship between match-play characteristics of elite rugby league and indirect markers of muscle damage. Int J Sports Physiol Perform. 11(4):515–521. doi:https://doi.org/10.1123/ijspp.2015-0406.
- Weaving D, Beggs C, Dalton-Barron N, Jones B, Abt G. 2019. Visualising the complexity of the athlete monitoring cycle through principal component analysis. Int J Sports Physiol Perform. 18:1304–1310. doi:https://doi.org/10.1123/ijspp.2019-0045.
- Weaving D, Dalton NE, Black C, Darrall-Jones J, Phibbs PJ, Gray M, Jones B, Roe GA. 2018. The same story or a unique novel? Within-participant principal-component analysis of measures of training load in professional rugby union skills training. Int J Sports Physiol Perform. 13(9):1175–1181. doi:https://doi.org/10.1123/ijspp.2017-0565.
- Weaving D, Jones B, Till K, Abt G, Beggs C. 2017. The case for adopting a multivariate approach to optimise training load quantification in team sports. Front Physiol. 12(18):1024. doi:https://doi.org/10.3389/fphys.2017.01024.
- Weaving D, Marshall P, Earle K, Nevill A, Abt G. 2014. Combining internal-and external-training-load measures in professional rugby league. Int J Sports Physiol Perform. 9(6):905–912. doi:https://doi.org/10.1123/ijspp.2013-0444.
- Woods C, Robertson S, Collier N, Swinbourne A, Leicht AS. 2018. Transferring an analytical technique from ecology to the Sport Sciences. Sports Med. 48(3):725–732. doi:https://doi.org/10.1007/s40279-017-0775-2.