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Content 2
  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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Scientific Fields
Diseases
Organisms
Applications
Technique
Starting Date
14
Oct 2024
Ending Date
21
Feb 2025
Time
09:00:00
Institut Pasteur, Rue du Docteur Roux, Paris, France
Address
2024-10-14 09:00:00 2025-02-21 18:00:00 Europe/Paris Analyse de données avec Stata (3 sessions) Ce cours fait partie d’un parcours de formation du Master Specialisé en Santé Publique de l’Ecole Pasteur-Cnam-EHESP. Le cours est composé de trois cours d’une semaine pouvant être suivis indépendamment, et présente les principes […] Institut Pasteur, Rue du Docteur Roux, Paris, France Arnaud Fontanet arnaud.fontanet@pasteur.fr

Ce cours fait partie d’un parcours de formation du Master Specialisé en Santé Publique de l’Ecole Pasteur-Cnam-EHESP. Le cours est composé de trois cours d’une semaine pouvant être suivis indépendamment, et présente les principes et l’utilisation du logiciel Stata pour effectuer des analyses statistiques sur des bases de données biomédicales. Chaque module, d’une durée de 5 jours en temps plein, se divise en une session théorique le matin, suivie de travaux dirigés l’après-midi. Ces sessions pratiques permettent aux participants de travailler individuellement sur des cas concrets en utilisant le logiciel Stata.

Session Stata 1 : Commandes Stata et tests univariés

Session Stata 2 : Régression logistique

Session Stata 3 : Analyse de survie et modèle de Cox

Location

Location: Institut Pasteur, Rue du Docteur Roux, Paris, France