Hello R-SIG-ECOLOGY members
Last chance to join our 2-day seminar Longitudinal Data Analysis and Growth Curve Models livestreaming February 9?10 with Giorgio Di Gessa (Epidemiology & Public Health, University College London). This workshop explores Longitudinal Data Analysis and Growth Curve Models, essential for understanding changes over time in complex datasets. Researchers in ecology and environmental science can apply these advanced statistical methods, implemented in R, to account for variability across different levels of their studies. This enables more robust analysis of phenomena like vegetation dynamics, soil composition changes, or hydrological patterns, leading to more precise research findings.
Sign up today (https://instats.org/seminar/longitudinal-data-analysis-and-growth-cu-1) to secure your spot, and please share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Instats | instats.org