Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients

• Main Authors: Lily Siok Hoon Lim, Eleanor Pullenayegum, Rahim Moineddin, Dafna D Gladman, Earl D Silverman, Brian M Feldman
• Format: Article
• Language: English
• Published: BMC 2017-03-01
• Series: Pediatric Rheumatology Online Journal
• Subjects: Epidemiology; Longitudinal study; Childhood-onset dermatomyositis; Biostatistics
• Online Access: http://link.springer.com/article/10.1186/s12969-017-0148-2

Abstract Most outcome studies of rheumatic diseases report outcomes ascertained on a single occasion. While single assessments are sufficient for terminal or irreversible outcomes, they may not be sufficiently informative if outcomes change or fluctuate over time. Consequently, longitudinal studies that measure non-terminal outcomes repeatedly afford a better understanding of disease evolution. Longitudinal studies require special analytic methods. Newer longitudinal analytic methods have evolved tremendously to deal with common challenges in longitudinal observational studies. In recent years, an increasing number of studies have used longitudinal design. This review aims to help readers understand and apply the findings from longitudinal studies. Using a cohort of children with juvenile dermatomyositis (JDM), we illustrate how to study evolution of disease activity in JDM using longitudinal methods.