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
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