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From  Tue May 23 08:56:55 2023
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From: "Carlo Pecoraro" <>
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To: Members of AnGenMap <>
Subject: Course - Analysis of Longitudinal Data with R
Date: Tue, 23 May 2023 08:56:55 -0500

Dear all,
We are excited to announce our upcoming course on Introduction to the
Analysis of Longitudinal Data with R! This course is designed to provide you
with comprehensive knowledge and practical skills to effectively analyze and
interpret longitudinal data using the R programming language.

Dates: June, 26th-29th

Course website:

Longitudinal data, which involve repeated measurements over time or space,
pose unique challenges in analysis and interpretation. In this course, we
will explore the main challenges associated with longitudinal data from both
classical statistical and machine learning perspectives. Specific topics
covered will include forecasting, epidemiology, and gene-expression
experiments. You will gain insights into visualization, exploratory data
analysis, modeling, and validation techniques for longitudinal data analysis.

The course is structured into modules spanning four days of intensive
learning. Each day will feature engaging lectures accompanied by class
discussions on key concepts. Practical hands-on sessions will be conducted,
enabling you to apply the acquired skills through collaborative exercises.
These exercises will encourage interaction with instructors and fellow
students, fostering a dynamic learning environment. Results will be
interpreted and discussed throughout the exercises. Towards the end of the
course, we will conduct a Kahoot quiz to recap and highlight the essential
concepts covered. Additionally, ample time will be provided for discussing
specific research problems and participant questions.

This course is designed for advanced students, researchers, and professionals
interested in analyzing longitudinal data in real-life applications within
the field of biology. Whether you are an absolute beginner or an experienced
user seeking to enhance your understanding of longitudinal models and
scripting code, this course is suitable for you. We will start with an
introduction to general concepts and approaches for dealing with longitudinal
data. Subsequently, we will explore applications in forecasting,
epidemiology, and gene expression. While a background in biology and
familiarity with inferential and predictive experiments is beneficial,
attendees from various disciplines are welcome. The course will primarily
utilize R, Markdown/Jupyter Notebooks, and the Linux command line. Although a
basic understanding of R programming and the Linux environment is
advantageous, it is not mandatory.

By the end of the course, you will have gained:
• The ability to recognize and address spatial and temporal
  dependencies in your data.
• Proficiency in the most common methods for analyzing data with
  repeated records.
• Knowledge and principles of data forecasting.
• Insight into specific applications of longitudinal data analysis in
  domains such as epidemiology and gene expression experiments.
• The skills to design, analyze, and interpret scientific experiments
  with a time component.

Don't miss this opportunity to enhance your expertise in the analysis of
longitudinal data with R! Join us for an enriching learning experience that
combines theoretical foundations with hands-on practical exercises.

Full list of our courses and Workshops:

Should you have any questions, please feel free to contact us:

Best regards,


Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR
mobile: +49 17645230846

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