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 ...

Introduction The impact of stunting, thinness and obesity on depression and anxiety during challenging times, such as ...

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 ...

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 ...

Researchers from the University of Alabama at Birmingham are members of the large-scale long-term national HEALthy Brain 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 ...

Clinical impact of oncogenic KRASdosage variation in pancreatic cancer. A phase II study of radiotherapy combined with docetaxel, cisplatin, and 5-fluorouracil for postoperative loco-regional ...

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 SMP intended to quantify and validate relationships between climatic conditions and in situ material properties, and their impact on pavement performance (FHWA 2017). The following summarizes the ...