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Understanding Clinical Research: Behind the Statistics(으)로 돌아가기

케이프타운대학교의 Understanding Clinical Research: Behind the Statistics 학습자 리뷰 및 피드백

1,374개의 평가
387개의 리뷰

강좌 소개

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....

최상위 리뷰


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.


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!

필터링 기준:

Understanding Clinical Research: Behind the Statistics의 385개 리뷰 중 226~250

교육 기관: Otakhoigbogie U

Jun 13, 2018

Excellent course. Instructor is fantastic. Thank you sir.

교육 기관: Marie J

Nov 12, 2017

Highly engaging content exceeded expectations, thank you!

교육 기관: Saeed S A

Dec 02, 2015

very simplified beginner course on biostatistics concepts

교육 기관: Thadikamala S

Dec 09, 2018

Very Good, giving all necessary Basics of Bio-statistics

교육 기관: Sari M

Dec 18, 2017

This course is a really friendly approach to statistics.

교육 기관: Mayra T M

May 30, 2016

Good video classes, good written/complementary material.

교육 기관: Ahmad S A

Aug 08, 2017

great experience i got it through this course thank you

교육 기관: Janina K

Mar 04, 2017

Very logical and clear approach. Brilliantly explained.

교육 기관: Ashumeet K

Sep 29, 2016

excellent and flexible way to obtain helpfull knowledge

교육 기관: Robert A

Apr 15, 2016

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

교육 기관: JOSEPH A

May 25, 2017

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

교육 기관: omkolthoum

Dec 09, 2018

Very simple yet comprehensive and useful course


교육 기관: skye r

Jan 26, 2016

I have been looking for a course like this for years.

교육 기관: Laura F

Jun 20, 2018

Excellent course, and I mean it! Highly recommended!

교육 기관: Jasim A

Apr 24, 2017

Very well explained the quantitative research method

교육 기관: Shaun d V

Oct 22, 2017

Brilliant. Should be compulsory for all registrars.

교육 기관: Omar F A O

Jan 11, 2017

Excellent course, congratulations to the whole team

교육 기관: Zarnain S

Jul 04, 2016

amazing course. Recommend it to everyone out there!

교육 기관: Alan J

Apr 11, 2019

Great introductions to the use of basic statistics

교육 기관: Linn D

Sep 25, 2016

Wonderful! I really enjoyed it and learned so much

교육 기관: Dimitrios P

May 29, 2019

excellent course. definately worth the time spent

교육 기관: Shahid P K

Apr 30, 2016

A very fine course ,clear and concise.well done .

교육 기관: Alaa A

Oct 23, 2017

A great , informative course easy to understand

교육 기관: Zeeshan A

Mar 06, 2016

It was nice course. I have learnt a lot from it.

교육 기관: Elene M

Feb 18, 2020

amazing course for all levels of data knowledge