Probing missing data in population-based longitudinal studies: A tutorial and application using R

A common challenge in longitudinal population-based research is the amount of incomplete and missing data that occurs for failing to complete the protocol, as well as potential loss to follow-up overtime. These types of missingness in a dataset can lead to problems such as biases in parameter estimates and loss of power during statistical testing, and ultimately, interpretation of findings. Yet, f…