Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Biostatistics in Public Health
Simple Regression Analysis in Public Health
von
Über diesen Kurs
11,984 kürzliche Aufrufe
Was Sie lernen werden
Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments
Kompetenzen, die Sie erwerben
P-ValueProportional Hazards ModelConfoundingregression
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 3 von 4 in
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. 17 Stunden zum Abschließen
Empfohlen: 4 weeks, 3-4 hours/week
Englisch
Untertitel: Englisch
Lehrplan - Was Sie in diesem Kurs lernen werden
3 Stunden zum Abschließen
Simple Regression Methods
Module one covers simple regression, the four different types of regression, commonalities between them, and simple linear aggression. Before completing the graded quiz, you can test your knowledge with the practice quiz.
3 Stunden zum Abschließen
8 Videos (Gesamt 148 min), 2 Lektüren, 2 Quiz
8 Videos
Simple Regression: An Overview17m
Simple Linear Regression with a Binary (or Nominal Categorical) Predictor14m
Simple Linear Regression with a Categorical Predictor22m
Simple Linear Regression with a Continuous Predictor25m
Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates25m
Measuring the Strength of a Linear Association22m
Additional Examples17m
2 Lektüren
Solutions to Linear Regression Practice Quiz10m
Quiz 1 Solution10m
2 praktische Übungen
Practice Quiz: Simple Linear Regression
Simple Linear Regression30m
2 Stunden zum Abschließen
Simple Logistic Regression
Within module two, we will look at logistic regression, create confidence intervals, and estimate p-values. You will have the opportunity to test your knowledge in both a practice quiz and a graded quiz.
2 Stunden zum Abschließen
6 Videos (Gesamt 89 min), 2 Lektüren, 2 Quiz
6 Videos
Simple Logistic Regression: An Overview9m
Simple Logistic Regression with a Binary (or Categorical) Predictor22m
Simple Logistic Regression: Accounting for Uncertainty in the Estimates15m
Estimating Risk and Functions of Risk from Logistic Regression Results16m
Additional Examples21m
2 Lektüren
Solutions to Practice Quiz on Simple Logistic Regression10m
Quiz 2 Solutions10m
2 praktische Übungen
Practice Quiz: Simple Logistic Regression
Logistic Regression30m
3 Stunden zum Abschließen
Simple Cox Proportional Hazards Regression
Module three focuses on Cox regression with different predictors. You will have the opportunity to test your knowledge first with the practice quiz and, then, with the graded quiz.
3 Stunden zum Abschließen
7 Videos (Gesamt 101 min), 2 Lektüren, 2 Quiz
7 Videos
Simple Cox Regression: An Overview17m
Simple Cox Regression with a Binary (or Categorical) Predictor17m
Simple Cox Regression with a Continuous Predictor23m
Simple Cox Regression: Accounting for Uncertainty in the Estimates14m
Estimating Survival Curves from Cox Regression Results11m
Additional Examples14m
2 Lektüren
Solutions for Practice Quiz on Simple Cox Regression10m
Solutions to Summative Quiz 310m
2 praktische Übungen
Practice Quiz: Simple Cox Proportional Hazards Regression
Simple Cox Regression30m
3 Stunden zum Abschließen
Confounding, Adjustment, and Effect Modification
Within module four, you will look at confounding and adjustment, and unadjusted and adjusted association estimates. Additionally, you will learn about effect modification. Similar to previous modules, you will first take a practice quiz before completing the graded quiz.
3 Stunden zum Abschließen
10 Videos (Gesamt 117 min), 1 Lektüre, 2 Quiz
10 Videos
Confounding: A Formal Definition and Some Examples15m
Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding11m
Adjusted Estimates: The General Idea Behind the Computations8m
Additional Examples7m
Effect modification: Introduction with an analytic example17m
Effect modification: Tree damage and elevation example15m
Effect modification: Examples from the literature16m
Confounding versus effect modification: A review7m
Additional examples15m
1 Lektüre
Solutions to Summative Quiz 410m
2 praktische Übungen
Practice Quiz: Confounding and Effect Modification12m
Confounding and Effect Modification30m
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.
2 Stunden zum Abschließen
1 Lektüre
1 Lektüre
Biostatistical Consulting Project10m
1 praktische Übung
Course Project Quiz2h
Bewertungen
Top-Bewertungen von SIMPLE REGRESSION ANALYSIS IN PUBLIC HEALTH
von MAJan 13, 2020
Really great course. Thank you for creating this. I'm an epidemiologist but haven't practiced biostatistics in years. This course series not only refreshed but also taught me new things.
von AOFeb 27, 2020
Very informative and well delivered course with clear instructions and mind teasing quizzes.
von KHOct 18, 2019
The course content was great. However, there was some technical problems.
von UKJul 26, 2019
Very practical course. The tutor makes complex concepts seem easy.
von
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 den 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.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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