{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T02:08:56Z","timestamp":1790215736870,"version":"4.1.0"},"reference-count":46,"publisher":"BMJ","issue":"1","license":[{"start":{"date-parts":[[2020,1,14]],"date-time":"2020-01-14T00:00:00Z","timestamp":1578960000000},"content-version":"unspecified","delay-in-days":13,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open Sport Exerc Med"],"accepted":{"date-parts":[[2019,12,15]]},"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>This objective of this study was to evaluate whether combining existing methods of elastic net for zero-inflated Poisson and zero-inflated Poisson regression methods could improve real-life applicability of injury prediction models in football.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Predictor selection and model development was conducted on a pre-existing dataset of 24 male participants from a single English football team\u2019s 2015\/2016 season.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The elastic net for zero-inflated Poisson penalty method was successful in shrinking the total number of predictors in the presence of high levels of multicollinearity. It was additionally identified that easily measurable data, that is, mass and body fat content, training type, duration and surface, fitness levels, normalised period of \u2018no-play\u2019 and time in competition could contribute to the probability of acquiring a time-loss injury. Furthermore, prolonged series of match-play and increased in-season injury reduced the probability of not sustaining an injury.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>For predictor selection, the elastic net for zero-inflated Poisson penalised method in combination with the use of ZIP regression modelling for predicting time-loss injuries have been identified appropriate methods for improving real-life applicability of injury prediction models. These methods are more appropriate for datasets subject to multicollinearity, smaller sample sizes and zero-inflation known to affect the performance of traditional statistical methods. Further validation work is now required.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjsem-2019-000634","type":"journal-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T05:05:18Z","timestamp":1579064718000},"page":"e000634","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Improving predictor selection for injury modelling methods in male footballers"],"prefix":"10.1136","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8552-7869","authenticated-orcid":false,"given":"Fraser","family":"Philp","sequence":"first","affiliation":[{"name":"School of Health and Rehabilitation, Keele University, Keele, Staffordhire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad","family":"Al-shallawi","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology in Medicine, Keele University, Keele, Staffordshire, UK"},{"name":"The Engineering Technical College of Mosul, Northern Technical University, Mosul, Nineveh, Iraq"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theocharis","family":"Kyriacou","sequence":"additional","affiliation":[{"name":"School of Computing and Mathematics, Keele University, Keele, Staffordshire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dimitra","family":"Blana","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology in Medicine, Keele University, Keele, Staffordshire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anand","family":"Pandyan","sequence":"additional","affiliation":[{"name":"School of Health and Rehabilitation, Keele University, Keele, Staffordhire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2020,1,14]]},"reference":[{"key":"2025083111042094000_6.1.e000634.1","first-page":"147","article-title":"Can serious injury in professional football be predicted by a preseason functional movement screen?","volume":"2","author":"Kiesel","year":"2007","journal-title":"N Am J Sports Phys Ther"},{"key":"2025083111042094000_6.1.e000634.2","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2009.069351"},{"key":"2025083111042094000_6.1.e000634.3","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.37.5.384"},{"key":"2025083111042094000_6.1.e000634.4","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2005.018267"},{"key":"2025083111042094000_6.1.e000634.5","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2006.026609"},{"key":"2025083111042094000_6.1.e000634.6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsams.2011.02.013"},{"key":"2025083111042094000_6.1.e000634.7","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2005.025270"},{"key":"2025083111042094000_6.1.e000634.8","unstructured":"Philp F . 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