Hello R-SIG-EPI members Last chance - This seminar will equip you with robust methods for analyzing within-person processes in your research. Analyzing Intensive Longitudinal Data 2.0 is a 2-day seminar livestreaming March 9?10 with Scott Colwell (University of Guelph and Enablytics). Intensive longitudinal data methods, taught with R, enable epidemiologists to analyze within-person processes that drive health outcomes, disease progression, or intervention responses over time. Researchers can apply these advanced techniques to model temporal dynamics, momentary predictors of behavior, and contextual influences on individual health trajectories, moving beyond cross-sectional or sparsely sampled designs. This workshop equips you with practical skills in data wrangling, multilevel modeling, and dynamic analyses in R, providing reproducible pipelines and APA-ready templates to enhance your epidemiological research. Sign up today (https://instats.org/seminar/analyzing-intensive-longitudinal-data-20) to join before enrollment closes, and please pass this to colleagues and students who may be interested! Best wishes Michael Zyphur Professor and Director Instats | instats.org
Last chance: Analyzing Intensive Longitudinal Data in R
1 message · mzyphur m@iii@g oii i@st@ts@org