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

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 ...

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

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels A data set of 1052 patients with human epidermal growth factor receptor 2 ...

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 ...

Objective To (1) develop and evaluate a machine learning model incorporating gait and physical activity to predict medial tibiofemoral cartilage worsening over 2 years in individuals without advanced ...

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 ...

Legacy, the leading digital male fertility clinic, today announced the launch of Sperm Insights, a first-of-its-kind product ...

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 ...