Several statistical methods are used to measure temporal dependency in epidemiology, including:
Time-Series Analysis: This involves studying data points collected or recorded at specific time intervals to identify patterns and trends over time. Autoregressive Models: These models use past data points to predict future values, acknowledging that current values depend on past values. Survival Analysis: This method studies the time until the occurrence of an event, such as the time until recovery or death from a disease. Cox Proportional Hazards Model: This is used to explore the relationship between the survival time of individuals and one or more predictor variables.
