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学生对 开普敦大学 提供的 Understanding Clinical Research: Behind the Statistics 的评价和反馈

4.8
2,152 个评分
653 条评论

课程概述

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started! The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available....

热门审阅

AM

Dec 16, 2018

Klopper MD is a great teacher. There are other courses from another top universities about this topic, but I think this is my favourite. This the shortest in duration and most comprehensive among all.

LK

Jul 29, 2017

Great course!! it is gonna provide you a good foundation in clinical studies if you want to start your career in clinical research! Clear explanation and comprehensive case study! highly recommended!

筛选依据:

401 - Understanding Clinical Research: Behind the Statistics 的 425 个评论(共 648 个)

创建者 B S L S G

Apr 02, 2020

good for learning the basic statistics in clinical research.

创建者 Christmar D Q L

Jan 22, 2019

One of the best courses i've ever done! I really enjoyed it.

创建者 Dr V B

Oct 01, 2020

Very good course to understand medical research literatures

创建者 Daniela A

May 24, 2020

Great course, lovely teacher. Very good explanatory videos.

创建者 Yasser N A

Jun 13, 2019

Great course. I recommend any medical personnel to take it.

创建者 CHO H

Sep 08, 2017

I could understand about statistics study more than before.

创建者 Linda

Oct 02, 2020

Very interesting course. Easy to follow. Nice assignments.

创建者 Franz E L G

Mar 22, 2020

Excellent course to understand the basics of biostatistics

创建者 Otakhoigbogie U

Jun 13, 2018

Excellent course. Instructor is fantastic. Thank you sir.

创建者 Marie J

Nov 12, 2017

Highly engaging content exceeded expectations, thank you!

创建者 Saeed S A

Dec 02, 2015

very simplified beginner course on biostatistics concepts

创建者 Thadikamala S

Sep 01, 2020

Very Good, giving all necessary Basics of Bio-statistics

创建者 Loren L R

Apr 02, 2020

Great course for everybody who wants to learn the stuff.

创建者 Sari M

Dec 18, 2017

This course is a really friendly approach to statistics.

创建者 Mayra T M

May 30, 2016

Good video classes, good written/complementary material.

创建者 H. S K D o P & P D S

Oct 13, 2020

Excellent course. Well explained throughout the course.

创建者 Ahmad S A

Aug 08, 2017

great experience i got it through this course thank you

创建者 Janina K

Mar 04, 2017

Very logical and clear approach. Brilliantly explained.

创建者 Ashumeet K

Sep 29, 2016

excellent and flexible way to obtain helpfull knowledge

创建者 Robert A

Apr 15, 2016

Excellent course! Thank you very much Dr. Klopper. A++.

创建者 KEVIN J

Sep 23, 2020

Instructor Juan H Klopper, he is so good in explaining

创建者 mhmoudsarhan

Jun 28, 2020

excellent for basic understanding of clinical research

创建者 Meryem T

Jun 15, 2020

Very helpful to understand basics. Highly recommended!

创建者 JOSEPH A

May 25, 2017

Interesting course, do try it out. Stats made easy yh!

创建者 DR.VABITHA S A

Sep 20, 2020

Excellent course on basics of clinical statististics.