Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

Spending time on digital media, particularly social media, tends to be consistently linked with poorer developmental outcomes ...

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 ...

Identification and Validation of Prognostic Model for Tumor Microenvironment-Associated Genes in Bladder Cancer Based on Single-Cell RNA Sequencing Data Sets Immune gene expression signatures are ...

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

The IMF’s World Revenue Longitudinal Database (WoRLD) tracks government revenue trends since the early 1980s. This invaluable resource offers policymakers, researchers, and the public crucial insights ...

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 ...

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 ...

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 ...