Über diesen Kurs
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Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Anfänger“

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Ca. 12 Stunden zum Abschließen

Empfohlen: 4 weeks, 3-4 hours/week...

Englisch

Untertitel: Englisch

Was Sie lernen werden

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    Practice multiple regression methods to determine relationships between an outcome and multiple predictors

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    Use the Spline approach for non-linear relationships with continuous predictors

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    Perform calculations with multiple predictor variables

Kompetenzen, die Sie erwerben

effect modifcationProportional Hazards ModelRegression AnalysisSpline approach

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Anfänger“

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Ca. 12 Stunden zum Abschließen

Empfohlen: 4 weeks, 3-4 hours/week...

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
4 Stunden zum Abschließen

An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression

Within this module, an overview of multiple regression will be provided. Additionally, examples and applications will be examined. A practice quiz is provided to test your knowledge before completing the graded quiz.

...
9 Videos (Gesamt 177 min), 2 Lektüren, 2 Quiz
9 Videos
Multiple Linear Regression: Some Examples23m
Multiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates14m
Estimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear Regression9m
The “Linearity” Assumption and Estimating Amount of Variability Explained by Multiple Predictors21m
Examples from the Literature21m
Investigating Effect Modification with Multiple Linear Regression (Forthcoming)20m
Investigating Effect Modification with Multiple Linear Regression—More Examples, For Those Interested18m
Additional Examples of Multiple Linear Regression34m
2 Lektüren
Solutions to Practice Quiz on Multiple Linear Regression10m
Solutions to Summative Quiz 110m
2 praktische Übungen
Practice Quiz: An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30m
An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression30m
Woche
2
4 Stunden zum Abschließen

Multiple Logistic Regression

Module two covers examples of multiple logistic regression, basics of model estimates, and a discussion of effect modification. In addition to lectures, you will also be completing a practice quiz and graded quiz.

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8 Videos (Gesamt 167 min), 2 Lektüren, 2 Quiz
8 Videos
Multiple Logistic Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates18m
Estimating Group Odds and Proportions, and Odds Ratios for Groups Who Differ in More than One Predictor with Multiple Linear Regression24m
The “Linearity” Assumption and Basics of Prediction21m
Examples from the Literature26m
Investigating Effect Modification with Multiple Logistic Regression, Part 118m
Investigating Effect Modification with Multiple Logistic Regression, Part 210m
Additional Examples21m
2 Lektüren
Solutions to Practice Quiz Items 1-910m
Solutions to Quiz on Logistic Regression10m
2 praktische Übungen
Practice Quiz: Multiple Logistic Regression30m
Multiple Logistic Regression30m
Woche
3
3 Stunden zum Abschließen

Multiple Cox Regression

The last module for this class focuses on multiple Cox regression, the “Linearity” assumption, examples, and applications. You will complete a practice quiz, graded quiz, and project.

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5 Videos (Gesamt 95 min), 2 Lektüren, 2 Quiz
5 Videos
Basics of Model Estimation and Handling Uncertainty in the Resulting Estimates18m
Estimating Hazard Ratios for Groups who Differ in more than one Predictor with Multiple Cox Regression12m
The "Linearity" Assumption and Prediction with Multiple Cox Regression21m
Examples from the Literature25m
2 Lektüren
Soluitons To Multiple Cox Regression Practice Quiz10m
Solutions: Summative Quiz (Multiple Cox Regression)10m
2 praktische Übungen
Practice Quiz: Multiple Cox Regression30m
Multiple Cox Regression, and Course Concepts30m
Woche
4
2 Stunden zum Abschließen

Course Project

During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.

...
1 Lektüre, 1 Quiz
1 Lektüre
Biostatistical Consulting Project10m
1 praktische Übung
Project2h
4.6
2 BewertungenChevron Right

Top reviews from Multiple Regression Analysis in Public Health

von AMJan 21st 2019

Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization

Dozent

Avatar

John McGready, PhD, MS

Associate Scientist, Biostatistics
Bloomberg School of Public Health

Über 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....

Über die Spezialisierung Biostatistics in Public Health

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team....
Biostatistics in Public Health

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