Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...

Inappropriate choice of working correlation structure in generalized estimating equations (GEE) could lead to inefficient parameter estimation while impractical normality assumption in likelihood ...

An FWD measurement descriptive analysis was conducted for each test, each visit with repeated daily tests, and tests at different days/seasons. The descriptive analyses included an assessment of ...

Healthcare is still organized around episodes rather than lives, and without shared governance for how data is curated, trusted and exchanged, fragmentation persists even as digital investment ...

Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...

When researchers require some statistical expertise or data analysis know-how, The Methodology Center at Purdue (MCAP) is there. A collaboration between the Purdue University College of Health and ...

Objective This study aimed to investigate how knee extensor and flexor strength change over time after anterior cruciate ligament reconstruction (ACLR). Design Systematic review with longitudinal meta ...

The longitudinal profile data for the asphalt pavement SMP sections was analyzed to assess the applicability of seasonal adjustments. The time-series IRI data was plotted, and a linear regression was ...