Chevron Left
Volver a Summary Statistics in Public Health

Summary Statistics in Public Health , Universidad Johns Hopkins

4.8
63 calificaciones
14 revisiones

Acerca de este Curso

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....

Principales revisiones

por HP

Feb 13, 2019

Dr. McGready did an excellent job putting abstract statistical terms and methods in plain languages (with good examples). I find this course very helpful!

por A

Mar 23, 2019

Excellent teaching and good examples which help in manipulating and visualizing huge data samples . Good course which i recommend for everyone.

Filtrar por:

15 revisiones

por Andrea Gómez

Apr 21, 2019

It is a great course to enroll with basic skills in statistics.

por Francisco Cueva

Apr 12, 2019

Este primer curso del programa especializado me parece simplemente fundamental en la formación de todo profesional de salud, teniendo en cuenta que el 90% o más del material que se utiliza en la práctica diaria está relacionado con el proceso de Medicina Basada en Evidencias. Realmente recomiendo este curso.

por Ezeobi Obinna

Apr 08, 2019

Quite informative and engaging. I enjoyed every bit of it

por Thomas J. Haslam

Apr 08, 2019

Friendly intro, with excellent examples.

por Nancy Zambrana

Mar 26, 2019

Excellent course, very succinct and easy to understand, the professor is fantastic! I was going to just take this class and now I am enrolled in the specialization, some professors are so good that make you wanna learn more, thank you.

por Ayush Bisen

Mar 23, 2019

Excellent teaching and good examples which help in manipulating and visualizing huge data samples . Good course which i recommend for everyone.

por James McDevitt

Mar 15, 2019

Excellent course. Dr. McGready is so clear and concise. Can't wait to get to the next module.

por Chi Fru Mcwright

Mar 05, 2019

Detailed and employs the use of many case examples. thanks

por OLATUNDE OLAYANJU

Mar 04, 2019

Indeed an eye opening experience

por Hoon Loi Chong

Mar 03, 2019

Not only informative, this course is very useful in routine clinical practice.

Thanks a lot.