Easy Stat (English version)
Description
The objective of the first 6 videos (#1 to 6) is to facilitate the understanding of basic concepts in Inferential Statistics. In the first video, it is recommended to watch them in order. The last 4 videos (#7 to 10) cover the essential notions of the validity of diagnostic tests. Similarly, it is recommended to watch them in order.
Vidéo pédagogique
1 Distribution of multiple sample values
Gay
Frédérick
Samples, Normal Distribution, Average of a population, p-value
2 Does a sample come from this population?
Gay
Frédérick
Comparison of a sample to a norm, Null hypothesis (HO), Alternative hypothesis (H1), Alpha risk, p-value
3 Do two samples come from the same population or not?
Gay
Frédérick
Comparison of 2 samples, Null hypothesis (H0), Alternative hypothesis (H1), Alpha risk, p-value
4 How do you make hypotheses ?
Gay
Frédérick
Hypothesis test, Null hypothesis (H0), Alternative hypothesis (H1), Alpha risk, p-value, Bilateral test, Unilateral test
6 How does your data look?
Gay
Frédérick
Statistical individuals, Variables, Variable types, Individual-variable table, Contingency table
7 Validity of a diagnostic test in every day life
Gay
Frédérick
Diagnostic test, Intrinsic validity, A priori validity, Sensitivity, Specificity
8 Intrinsic validity of a qualitative diagnostic test
Gay
Frédérick
Intrinsic validity, A priori validity, Conditional probability, Gold Standard, Sensitivity, Specificity
9 What is the intrinsic validity of a quantitative diagnostic test?
Gay
Frédérick
Decision threshold, Threshold selection, ROC Curve
10 Predictive validity of a diagnostic test
Gay
Frédérick
Easy stat, Extrinsic validity, A posteriori validity, Predictive values, Conditional probability, Prevalence rate, Positive predictive value of a positive test (PPV), Negative predictive value of a
Intervenants
France
Médecin Hospitalo-Universitaire (Maître de Conférences des Universités – Praticien Hospitalier), spécialisé en Parasitologie-Mycologie. Ses sujets de prédilection sont les maladies à transmission vectorielle. Il est donc amené à collecter et analyser des données biologiques, épidémiologiques, entomologiques et environnementales. Il enseigne la Parasitologie-Mycologie, l’Epidémiologie et la Statistique qui est devenu l’un de ses principaux centres d’intérêt.
Doctor at the University-Hospital (Assistant Professor), specializing in Parasitology-Mycology. His favorite subjects are vector-borne diseases, therefore, he collects and analyzes biological, epidemiological, entomological and environmental data. He teaches Parasitology-Mycology, Epidemiology and Statistics, the latter of which has become one of his main interests
Parasitologie mycologie, CHU Pitié-Salpêtrière Paris AP-HP. Membre de jurys de thèses.