joint modeling

Joint modeling is a statistical approach used to analyze related data that are collected over time and may influence each other. For example, it simultaneously examines how a patient's health measurements, like blood pressure, change over time and how they relate to event outcomes, such as disease progression or treatment response. By linking these processes, joint modeling provides a more accurate understanding of their relationship, accounts for measurement errors, and improves prediction. It’s especially useful in medical research, where understanding the interplay between ongoing measurements and outcomes can guide better decision-making.