Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Biostatistics in Public Health
39.383 bereits angemeldet
von
Spezialisierung Biostatistics in Public Health Johns Hopkins UniversityÃœber diesen Kurs
42.041 kürzliche Aufrufe
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100Â % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Anfänger“
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Ca. 15 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Englisch, Spanisch
Was Sie lernen werden
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Kompetenzen, die Sie erwerben
- Statistics
- Normal Distribution
- summary measures
- binary data
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100Â % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Anfänger“
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Ca. 15 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Englisch, Spanisch
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
1 Stunde zum Abschließen
The Role of Statistics in Public Health Research
Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
1 Stunde zum Abschließen
6 Videos (Gesamt 64 min)
4 Stunden zum Abschließen
Continuous Data Measures
Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.
4 Stunden zum Abschließen
6 Videos (Gesamt 88 min), 1 Lektüre, 2 Quiz
3 Stunden zum Abschließen
The Normal Distribution
The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.
3 Stunden zum Abschließen
5 Videos (Gesamt 75 min)
3 Stunden zum Abschließen
Binary Data
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
3 Stunden zum Abschließen
6 Videos (Gesamt 78 min), 1 Lektüre, 2 Quiz
3 Stunden zum Abschließen
Dealing with the Element of Time
In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project.
3 Stunden zum Abschließen
6 Videos (Gesamt 85 min), 1 Lektüre, 2 Quiz
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 asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.
2 Stunden zum Abschließen
2 Lektüren
Bewertungen
- 5 stars83,22Â %
- 4 stars14,33Â %
- 3 stars1,70Â %
- 2 stars0,24Â %
- 1 star0,48Â %
Top-Bewertungen von SUMMARY STATISTICS IN PUBLIC HEALTH
von AR27. Apr. 2019
This is a well structured content. The course is presented in the most simplest form to accommodate complete novices. I found it very educative, practical and lucidly intense.
von AB23. Apr. 2020
I am glad to learn a lot of terms in statistics and how to use and interpret them in the context of Public Health researches. The Instructor provided enough examples to understand the lessons better.
von EC22. Sep. 2020
I found this course really useful. It actually made you do work and it wasn't necessarily easy to pass the end of module content, which I feel made the course so much more valuable. Highly recommend.
von PS25. Apr. 2020
I enjoyed and learnt a lot from the course. Dr. McGready is an excellent teacher. His style of going over the material in great detail helped me understand the concepts well. Thank you Dr. McGready!
Ãœber 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.
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