Sequential monitoring using the Second Generation P-Value with Type I error controlled by monitoring frequency.

Summary: Scientists are upgrading the statistical tools used to decide if medical treatments actually work. The traditional "p-value" method can be confusing and sometimes leads to errors. This paper introduces a new method called "SeqSGPV." It acts like a smarter ruler that measures if a result is scientifically useful, not just a statistical anomaly. It uses a "PRISM" zone to clearly define success before a study begins. By checking the data at specific times and adding a "double-check" affirmation step, this method reduces false alarms and helps researchers trust their conclusions.