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.
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!
By Tryambak P S•
This is one of the best courses on the clinical statistics for biomedical researchers. After this, you will be way more confident in the statistics behind your research and in the material and methods section of a publication.
By Martin N A•
This is a really good course in statistics used in clinical research. It gives a good foundation for understanding which statistics to use on a given clinical dataset. Furthermore, the teacher is good at explaning the tonic.
By Henoch C•
C'était hyper intéressant le cours de recherche clinique avec le formidable Dr Klopper. Merci à l'équipe Coursera. Je sais actuellement quoi, comment et pourquoi faire n'importe quoi en recherche clinique. Go ahead the team!
By Ganapathy P•
Excellent course and Excellent coaching by Dr. Juan H Klopper. I am a Chartered Accountant. I had put in additional efforts, by repeating some of the lessons and got certified today 23rd May 20. Thank you very much Doctor
By ezgi t•
For people who cannot know where to start learning basic statistics, it is a great course! it definitely gave me a comprehensive overview and I think that I'm not going to skip the chapters on methods and statistics anymore.
By Jeffrey R•
Very easy to follow and instructive teaching. I have a much better understanding of the statistical analyses being performed (as well as their underlying assumptions and limitations) in clinical research. Thank you so much!
By Agnieszka L•
A thoroughly enjoyable course that explains fundamental statistical concepts in an accessible, common-sense way, illustrated by examples from medical research literature. If you're intimidated by statistics, Dr Juan can hel
By Phillip H•
This course is really well structured with good explanations of tests and decision making processes. You can learn at your own speed and I feel more confident with analysing and selecting analysis techniques in the future.
By Andrés J C T•
Excelente curso, estoy completamente agradecido, he aprendido bastante y ahora me siento capaz de analizar mas a fondo y con mas confianza los articulos cientificos necesarios para mi desarrollo personal como futuro medico
By Ashraf I E S A•
It gives me a greater pleasure to attend this valuable ,concise and easy understanded course and I would like to thank everyone contribute to make this work came to the light special thanks to Dr.Juan Klopper
By Ian W•
After this course, you'll understand the basic knowledge, common statistic methods and which one to use for different data types. Note that the detailed math calculations behind the methods are NOT the aim for this course.
By Dawn V•
This was a a great course that started from basic Information to more In depth Information throughout the class. I learned quite a a bit and have already been using this knowledge to help me understand different studies.
By Penny H•
An excellent course as a foundation to understand statistics and the data behind clinical research. Very clear and interesting lectures from Dr Klopper. The quizzes keep you on track and reinforce learning. A well struct
By Sudha A•
It was an excellent course. The doctor explains the basics very well. The key notes and the tests help us to reinforce the information we learnt. I would certainly recommend for everyone keen in learning biostatistics.
By Julián P•
Creo que es un excelente curso para poder empezar a ver las minuciosidades respecto a ciertas pruebas estadísticas, sus alcances y limitaciones. Además maneja ejemplos sencillos y concernientes los temas de la semana.
By Kirstin B•
I thoroughly enjoyed this course . The material is very informative, easy to understand and I really liked the analogies and the images along the way. Juan really makes the content exciting and I'm eager to learn more.
By Olabisi O•
It was very well laid out and easy to follow. It helped me to understand medical journals tht I have read and reading. It also helps me to be more aware of the right analyses to perform and better way to present data
By Said P•
This is an excellent course on the foundations of bio-statistics. Very intuitive understanding on statistical tests and their interpretation. Reading exercises and case studies are very good. I totally recommend it.
By Hailey M•
An excellent course to understand the concepts behind the statistics! It is really well worth completing it if, like me, you just wrote learned stats in undergrad but now you need a more intuitive understanding :-)
By Estuardo P Q•
This is a great course to understand the statistics behind all those trials that we read. I highly recommend it for everyone who wants to understand more about how to understand the "Results" section from journals.
By Ralph T•
Great course for getting a rudimentary understanding of some of the more common bio-statistical methods. Even though lite on math, it does challenge to to have a comprehensive understanding of the concept covered.
By Raquel T•
This course is highly recommended for beginners and as a refresher course. The videos are short, comprehensive & easily understood. Dr. Juan H. Klopper is an effective teacher and adept at conducting the lecture.
By Tai L•
The most comprehensive course about Clinical research I've ever learnt. By going through many practical examples with limited mathematics involved, the course will help learners understand more. Highly recommend!
By SongLing T•
Easily digestible with topics broken down into 5-10 minutes chunks. However the explanation on non-parametric tests could be more elaborated. Highly recommended for a firm understanding on basics of statistics.
By Jillian M•
Easy to follow, well thought out and not overwhelming. Easy to manage with full time job. Good introduction into statistics and the value of understanding it as it applies to experiments and data interpretation