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 ...

Purpose This study describes the characteristics and quality of reporting for published computer simulation studies about statistical methods to analyze complex longitudinal (i.e., repeated measures) ...

This course is available on the MPA in Data Science for Public Policy, MRes in Management (Marketing), MSc in Health Data Science, MSc in Social Research Methods, MSc in Statistics, MSc in Statistics ...

We study the simultaneous domain selection problem for varying coefficient models as a functional regression model for longitudinal data with many covariates. The domain selection problem in a ...

The article highlights how large-scale and longitudinal studies, wearables and national data initiatives are advancing ...

In longitudinal clinical trials, missing data is a threat to scientific integrity. Whether due to patient dropouts, missed visits, or protocol deviations, these gaps can distort results, reduce ...

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.

This course is available on the MPhil/PhD in Health Policy and Health Economics. This course is freely available as an outside option to students on other programmes where regulations permit. It does ...