Tableaux de présentation de données statistiques en épidémiologie

Tableaux de présentation de données statistiques en épidémiologie

🎙 Thierry Ancelle 👥 25K 📅 April 11, 2021 ⏱ 23 min 👁 11K 📄 tutorial 🧭 2026-08-17
Available in: English (current) Français

Keywords

tableauxépidémiologiestatistiquesdonnées manquantespourcentages

Summary

This video, presented by Thierry Ancelle, is a tutorial on how to present statistical data in tables, specifically in the context of epidemiology. It covers the construction of tables for qualitative and quantitative variables, including binary, nominal, ordinal, and continuous variables. The presenter explains how to calculate and display frequencies and percentages, emphasizing the importance of clear labeling and proper interpretation. He discusses two-dimensional tables, the discretization of continuous variables into classes, and the handling of missing data, advocating for transparency and honesty in reporting. The video also provides formal advice on table design, such as self-explanatory titles, minimal use of lines, and consistent formatting. The overall message is to be clear and honest in data presentation to ensure accurate communication and interpretation.

123 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable, practical guidance on a topic often overlooked in statistics education. The presenter uses clear examples and logical reasoning to illustrate common pitfalls and best practices. The argumentation is solid, based on epidemiological principles and real-world examples, such as the tuberculosis table from the French health bulletin. The emphasis on transparency with missing data and the importance of clear titles are particularly valuable. The tutorial is well-structured and easy to follow, making it a useful resource for students and professionals in public health.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, as the content aligns with standard epidemiological methods. The presenter does not cite external sources directly, but the examples are drawn from real publications, and the methods are consistent with established practice. The title accurately reflects the content, and the video is well-organized with clear chapter markers. The presenter’s expertise is evident, and the advice is practical and evidence-based. However, the lack of explicit references to literature or guidelines could be a minor weakness for those seeking further reading.

185 words

Title / Content Match

The title accurately reflects the content, which focuses on constructing and presenting statistical tables in epidemiology.

Quality & Reliability

8/10

The video is a didactic tutorial by an experienced epidemiologist, presenting standard methods for tabulating epidemiological data. It is methodologically sound, with clear explanations and practical examples. The content aligns with established biostatistical practices, though it lacks explicit citations to external sources.

Key Moments

Cited Sources

  • Formation Epiter — List of courses in statistics and epidemiology by the author.
  • QCM Quizz — Exercises, MCQs, and quizzes for practice.

Concurring Sources

  • STROBE Statement — Recommendations for reporting observational studies, which include guidance on presenting data in tables.
  • CONSORT Statement — Guidelines for reporting randomized trials, which also address table presentation.

Contribution & Novelties

The video fills a gap in epidemiology education by focusing on the often-neglected skill of presenting data in tables. It offers clear, practical advice on constructing tables for various variable types, handling missing data, and ensuring clarity and honesty in presentation. The emphasis on self-explanatory titles and transparent reporting is particularly valuable for scientific communication.

Pour aller plus loin :

108 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower technical level, indicating a well-balanced tutorial that is accessible yet rigorous.

Reliability 8/10

💬 No comments were provided for analysis.