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 UC Office of the President’s Institutional Research and Academic Planning group has partnered with the UC ClioMetric History Project, a project of UC Berkeley’s Center for Studies in Higher ...
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) ...
The article highlights how large-scale and longitudinal studies, wearables and national data initiatives are advancing ...
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 ...
Motivated by quantifying the monotonic relationship between gray matter (GM) volume and age in the older population, this study proposes a constrained nonparametric estimation and statistical ...
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.
Higher Problem Gambling Severity Index scores are associated with current and future non‑fatal suicide attempts in young UK ...
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback