link
Source : www.coursera.org
list
7 séquences
assignment
Niveau : Introductif
chat_bubble_outline
Langue : Anglais
card_giftcard
448 points
Avis de la communauté
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.
more_horiz
Lire plus
more_horiz
Lire moins
dns
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
record_voice_over
Les intervenants
- John McGready - Bloomberg School of Public Health
store
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.
assistant
La plateforme

Coursera est une entreprise numérique proposant des formations 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.
Vous êtes le concepteur de ce MOOC ?
keyboard_arrow_left
grade
keyboard_arrow_right
Intégrez le module d’évaluation