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Avis et commentaires pour d'étudiants pour Understanding Clinical Research: Behind the Statistics par Université du Cap

4.8
étoiles
2,608 évaluations
788 avis

À propos du cours

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....

Meilleurs avis

AM
15 déc. 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
28 juil. 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!

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676 - 700 sur 788 Avis pour Understanding Clinical Research: Behind the Statistics

par Md. A S

29 juil. 2020

impressive

par Anna P

9 juil. 2020

Excellent!

par Jenique B

7 févr. 2020

Excellent.

par Naganathan

4 nov. 2019

excellent.

par Lilia O P

4 juin 2018

Excellent!

par Luis A G

6 nov. 2021

excellent

par Omkar J

7 janv. 2021

Very good

par Carlos M

2 sept. 2020

Excellent

par Abid K

5 août 2020

wonderful

par Ibrahim H

8 juil. 2020

Excellent

par Hala A Y O

13 sept. 2019

Very nice

par Muhamed A

1 mars 2018

good work

par Shakil A S

14 févr. 2021

amazing!

par Priscila H L

11 janv. 2021

Perfect!

par Mitchell G

18 janv. 2020

Amazing.

par Dr J A M P

24 juil. 2018

EXCELENT

par Sadaf A

8 juil. 2020

great

par Samiksha D

29 juin 2020

great

par BRANDON C T

1 juin 2021

:)

par Marijana M

18 déc. 2018

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par Federica M

16 avr. 2018

Thank you for your course. Teaching statistics to the ones (majority) who do not have maths background is incredibly hard and the works for teacher is humongous. Few flaws to highlight: some parts where a little bit too "simplistic" like for instance; sampling and frequency distribution , ANOVA Z and T tables. These parts I believe requires a little bit more insight in the nature of the maths behind it to grab a better understanding of it. I have to say I had to integrate your material with other you tube videos on the web to get a deeper sense of it. An introduction to ROC curve and Meta-analysis is something to consider for future courses

I have also noted a lack of reply to many questions written on the Forum.

But overall a very good course which delivers basic concept of statistics. I think I have improved the ability to better understand the methodology behind research and research manuscript.

par Sergio F

25 nov. 2020

You get understanding about basic statistics in biomedical reasearch but not deep. If you will to know how to perform the tests either by problem-solving and getting to know how to develop those calulations in each case for each test, you might have to further study in other places. I wish it also had that possibility with learning how to process the data for those test in informatics programs too such as R. I expected to learn from this course how to apply that knowledge (which was great taught) to my own research to produce conclusions over my trials

Overall, very nice explained and you get to learn a lot about data types and analyses. Now I will be able to understand what statistics is telling me in researching papers although I will not know how they did the maths underneath or how to apply it to my own research. I guess this is a first step ans basic knowledge was gathered here

par Tri L

19 déc. 2017

I'm thankful for the fact that there is little mathematical detail about the statistics, which is indeed a good choice for anyone who just want to correctly "read" a clinical research. The knowledge of the last 3 weeks is, however, too concise. I would love know more about story/nature behind each test, or at least, some good material too read or listen to. But I think, the course is very well structured, lectures are short and clear, examples are interesting and practical.

par Hannah C

5 juin 2020

I found this course very helpful in breaking down the subject matter well and making it easy to understand. I however think there can be improvement in terms of the manner in which the information is conveyed in the videos. They should be made more exciting and more images and graphs should be used to help the student understand, not just the lecturer speaking. I also found the readings rather redundant as all they information was already relayed in the video before.

par hussien i

15 mai 2020

I took this course because I heat statistic and I want something easy to understand it, now I have finished the course I would say I did understand a lot of the concepts that will help me in reading and understanding and even criticize some research papers. special thanks to de.juan he really breaks things down to make it looks very easy. now I still heat statistics but I have its basic now ^_^