date_range Débute le 20 mars 2017
event_note Se termine le 8 mai 2017
list 7 séquences
assignment Niveau : Introductif
label Informatique & Programmation
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
verified_user Certification gratuite
timer 56 heures de cours

En résumé

A practical and example filled tour of simple and multiple regression techniques (linear, logistic, and Cox PH) for estimation, adjustment and prediction.

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Le programme

  • Week 1 - Introduction and Module 1A: Simple Regression Methods
    In this module, a unified structure for simple regression models will be presented, followed by detailed treatises and examples of both simple linear and logistic models.
  • Week 2 - Module 1B: More Simple Regression Methods
    In this model, more detail is given regarding Cox regression, and it's similarities and differences from the other two regression models from module 1A. The basic structure of the model is detailed, as well as its assumptions, and multiple examples are presen...
  • Week 3 - Module 2A: Confounding and Effect Modification (Interaction)
    This module, along with module 2B introduces two key concepts in statistics/epidemiology, confounding and effect modification. A relation between an outcome and exposure of interested can be confounded if a another variable (or variables) is associated with b...
  • Week 4 - Module 2B: Effect Modification (Interaction
    Effect modification (Interaction), unlike confounding, is a phenomenon of "nature" and cannot be controlled by study design choice. However, it can be investigated in a manner similar to that of confounding. This set of lectures will define and give examples...
  • Week 5 - Module 3A: Multiple Regression Methods
    This module extends linear and logistic methods to allow for the inclusion of multiple predictors in a single regression model.
  • Week 6 - Module 3B: More Multiple Regression Methods
    This set of lectures extends the techniques debuted in lecture set 3 to allow for multiple predictors of a time-to-event outcome using a single, multivariable regression model.
  • Week 7 - Module 4: Additional Topics in Regression
     
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Les intervenants

  • John McGready - Bloomberg School of Public Health
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Le concepteur

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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