APA (7th ed.) Citation

M, C., B, L., P, M., VT, v. H., ACE, v. G., M, B., . . . S, S. (2022). Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study. EClinicalMedicine, 55, 101773. https://doi.org/10.1016/j.eclinm.2022.101773

Chicago Style (17th ed.) Citation

M, Chen, Landré B, Marques-Vidal P, van Hees VT, van Gennip ACE, Bloomberg M, Yerramalla MS, Benadjaoud MA, and Sabia S. "Identification of Physical Activity and Sedentary Behaviour Dimensions That Predict Mortality Risk in Older Adults: Development of a Machine Learning Model in the Whitehall II Accelerometer Sub-study and External Validation in the CoLaus Study." EClinicalMedicine 55 (2022): 101773. https://doi.org/10.1016/j.eclinm.2022.101773.

MLA (9th ed.) Citation

M, Chen, et al. "Identification of Physical Activity and Sedentary Behaviour Dimensions That Predict Mortality Risk in Older Adults: Development of a Machine Learning Model in the Whitehall II Accelerometer Sub-study and External Validation in the CoLaus Study." EClinicalMedicine, vol. 55, 2022, p. 101773, https://doi.org/10.1016/j.eclinm.2022.101773.