Descriptive Statistics N Minimum Maximum Mean Std. DeviationTime followed in Month 180 .82 32.02 21.9704 9.27119Valid N (listwise) 180 Create lengthy paragraph: The time-to-event variable, commonly known as the "followed" variable, is essential as it measures the duration until a designated event transpires, such as the start of a stroke in this context. This variable is quantified in uniform units, generally in months or years, ensuring comparability among participants and enabling rigorous statistical modeling. The validity of survival analysis is heavily reliant on the distinctiveness of time-to-event values; thus, it is crucial to investigate and rectify the occurrence of situations where several participants have the same follow-up times. For example, assume a situation in which a frequency table indicates that 20 participants share an identical "followed" number of 32.02 months. Although this is prevalent in clinical environments, it prompts significant questions concerning the assumptions inherent in the Cox proportional hazards model, which depends on the premise of distinct event times for precise calculation of hazard ratios and survival estimates. The existence of ties may result in biased outcomes, as the model finds it difficult to distinguish between these simultaneous events, leading to complications in appropriately predicting the risks linked to covariates. This bias may mask authentic correlations between parameters such as hypertension and st

Descriptive Statistics N Minimum Maximum Mean Std. Deviation Time followed in Month 180 .82 32.02 21.9704 9.27119 Valid N (listwise) 180