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

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 ...

For decades, the question of whether fluoride in tap water could harm children’s brains has fueled contentious debates in ...

Spending time on digital media, particularly social media, tends to be consistently linked with poorer developmental outcomes in children and teens. A massive review of existing research suggests that ...

Survival disparities in patients with acute lymphoblastic leukemia: A focus on young adult and adolescent patients. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...

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 ...

Phase II study of trastuzumab-pkrb plus gedatolisib in patients with HER2-positive metastatic breast cancer who progressed after 2 or more HER2-directed chemotherapies (KM-10A/KCSG BR18-13). This is ...

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 ...

Variation in environmental factors can result in changes in pavement material properties. In asphalt pavements, asphalt stiffness is affected by changes in temperature (e.g., moduli value increases ...