Carotid atherosclerosis is associated with left ventricular diastolic function: methodological issue

Is Determination of Predictors by Cross-Sectional Study Valid?

“…They would be validated by cross-validation; it means we need at least 2 different sets of cohort data-the prediction model derived from one sample would be validated in a second sample. 2,3 Therefore, longitudinal studies are essential for making assumptions for clinical prediction models, but in the study of Sophocleous et al, 1 determination of independent predictors of bone mineral density was done in a cross-sectional study. In other words, the temporality assumption (the dependent variable has to occur after the independent variable) must be ensured in the prediction model.…”

The influence of resilience on mental health: The role of general well‐being: Methodological issues to avoid prediction fallacy in a cross‐sectional study

“…The temporality assumption (the dependent variable has to occur after the independent variable) must be ensured in the prediction model. Thus, prediction models resulting from cross-sectional designs can be misleading (Ayubi & Sani, 2016;Steyerberg, 2008).…”

Association between bone scan index and activities of daily living in patients with advanced non-small cell lung cancer: methodological issues in cross-sectional study

“…In other words, the temporality assumption (the dependent variable has to occur after the independent variable) must be ensured in the prediction model. Thus, prediction models resulting from cross-sectional designs can be misleading [2][3][4].…”