Informações sobre o curso
4.7
87 ratings
24 reviews
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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Sugerido: 8 weeks of study, 2-3 hours/week

Aprox. 21 horas restantes
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English

Legendas: English

Habilidades que você terá

Interaction (Statistics)Propensity Score MatchingProportional Hazards ModelRegression Analysis
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 8 weeks of study, 2-3 hours/week

Aprox. 21 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
4 horas para concluir

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....
Reading
11 vídeos (Total de 203 min), 3 leituras
Video11 videos
Lecture 1a: Simple Regression: An Overview17min
Lecture 1b: Simple Linear Regression with a Binary (or Nominal Categorical) Predictor 21min
Lecture 1c: Simple Linear Regression with a Continuous Predictor 30min
Lecture 1d: Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates 22min
Lecture 1e: Measuring the Strength of a Linear Association 25min
Lecture 2 Introduction: Simple Logistic Regression1min
Lecture 2a: Simple Logistic Regression with a Binary (or Categorical) Predictor 24min
Lecture 2b: Simple Logistic Regression with a Continuous Predictor 24min
Lecture 2c: Simple Logistic Regression: Accounting for Uncertainty in the Estimates 19min
Lecture 2d: Estimating Risk and Functions of Risk from Logistic Regression Results 14min
Reading3 leituras
Syllabus10min
Learning Objectives, Lecture 110min
Learning Objectives, Lecture 210min

2

Seção
Clock
4 horas para concluir

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 presented....
Reading
5 vídeos (Total de 74 min), 3 leituras, 8 testes
Video5 videos
Lecture 3a: Simple Cox Regression: The Concept of Proportional Hazards 19min
Lecture 3b: Simple Cox Regression with Binary or Categorical Predictors 11min
Lecture 3d: Accounting for Uncertainty in Slope Estimate and Translating Cox Regression Results to Predicted Survival Curves 19min
Lecture 3c: Simple Cox Regression with a Continuous Predictor 21min
Reading3 leituras
Learning Objectives, Lecture 310min
Supporting Information for Homework 110min
Quiz 1 Solutions10min
Quiz8 exercícios práticos
Homework 1A16min
Homework 1B22min
Homework 1C10min
Homework 1D10min
Homework 1E10min
Homework 1F10min
Homework 1G14min
Module 1 Quiz: Covers Lectures 1-324min

3

Seção
Clock
1 hora para concluir

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 both the outcome and the exposure. In such cases the crude outcome/exposure associate may over or under-estimate the association of interest. Confounding is an ever-present threat in non-randomized studies, but results of interest can be adjusted for potential confounders. ...
Reading
4 vídeos (Total de 54 min), 1 leitura
Video4 videos
Lecture 4a: Confounding: A Formal Definition and Some Examples 24min
Lecture 4b: Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding 17min
Lecture 4c: Adjusted Estimates: The General Idea Behind the Computations 10min
Reading1 leituras
Learning Objectives, Lecture 410min

4

Seção
Clock
3 horas para concluir

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 of effect modification, and compare and contrast it with confounding....
Reading
4 vídeos (Total de 65 min), 3 leituras, 5 testes
Video4 videos
Lecture 5a: Effect Modification: Introduction with Some Examples 28min
Lecture 5b: Effect Modification: More Examples of Investigating Effect Modification 19min
Lecture 5c: Confounding versus Effect Modification: A Review 15min
Reading3 leituras
Learning Objectives, Lecture 510min
Supporting Information for Homework 210min
Quiz 2 Solutions10min
Quiz5 exercícios práticos
Homework 2A22min
Homework 2B6min
Homework 2C4min
Homework 2D8min
Module 2 Quiz: Covers Lectures 1-524min
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Melhores avaliações

por MJJun 8th 2017

Very well taught course. I learned valuable skills, and got a better understanding of how to interpret results, published in the literature.

por XPJan 8th 2017

Great course to improve your skills related to statistical data analysis focused on health domain

Instrutores

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

Sobre Johns Hopkins University

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....

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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