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 ...

This methodological assessment used data from a randomized controlled noninferiority trial of patients with low-risk prostate cancer, conducted by NRG Oncology (ClinicalTrials.gov identifier: ...

Analysis of Roche KAPA Target Enrichment kit experimental data obtained on an Illumina sequencing system is most frequently performed using a variety of publicly available, open-source analysis tools.

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

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 ...