| Autor: |
Ian Shrier, Russell J Steele, Chinchin Wang, Jay S Kaufman |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMJ Open Sport & Exercise Medicine, Vol 10, Iss 3 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2055-7647 |
| DOI: |
10.1136/bmjsem-2024-002037 |
| Popis: |
In recent years, a large focus has been placed on managing training load for injury prevention. To minimise injuries, training recommendations should be based on research that examines causal relationships between load and injury risk. While observational studies can be used to estimate causal effects, conventional methods to study the relationship between load and injury are prone to bias. The target trial framework is a valuable tool that requires researchers to emulate a hypothetical randomised trial using observational data. This framework helps to explicitly define research questions and design studies in a way that estimates causal effects. This article provides an overview of the components of the target trial framework as applied to studies on load and injury and describes various considerations that should be made in study design and analyses to minimise bias. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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