Overview
Recurrence rates are essential metrics used to understand how often specific events happen again, particularly in fields like healthcare and behavioral studies. By calculating these rates, researchers and practitioners can gain insights into patterns and trends that inform treatment and intervention...
Key Terms
Example: The recurrence of a disease after treatment.
Example: The rate of infection in a population.
Example: A p-value less than 0.05 indicates statistical significance.
Example: Surveys are a common method of data collection.
Example: A case study on a patient’s recovery from cancer.
Example: Long-term monitoring of patients after surgery.