Dec 15, 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 28, 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!
创建者 Eduards K•
Sep 19, 2017
Close to perfect introduction in statistics. Uses plenty of examples from open-access publications, and the test questions actually require to apply acquired knowledge instead of just repeating it. Only drawback is, that it's a bit too simple, if your interest in the topic is even slightly deeper.
创建者 Egehan S•
Oct 29, 2019
Fantastic course for both medical students and medical professionals alike (and anyone else interested in this field :). Would definitely recommend anyone trying to improve their statistical knowledge. This is a good starting point for anyone planning on conducting their own statistical analyses.
创建者 Michelle M•
Jan 16, 2022
This is an excellent course. I would recommend it for those hoping to gain an understanding of clinical research or refresh what was learnt during undergraduate training. The blend of lectures, reading, quizzes and assignments ensures that you have a clear understanding of the content presented.
创建者 Pierre-Marie B•
May 19, 2020
Great course, review all the basics, and bring you from beginner to intermediate +++. I strongly recommend. You may need to investigate some concepts outside of this course from time to time to fully understand but Juan Koppler will give you a guideline to finally understand the biostatistics.
创建者 Violeta C•
May 22, 2018
It is by far the best course among the various ones that I have followed in Coursera. The explanations are clear and the examples really helpful. The tests and exercices following each lesson are also extremely useful and allow you to realise whether you have understood the lesson or not.
创建者 Tomas M•
Jun 2, 2017
A THRILL of a course, absolutely very well planned & thought, with a great deal of examples, and great examples to build upon (some real case examples). It REALLY helped me finally comprehend the statistics behind trials. Can`t wait to her about an extension or expansion from Dr Klopper!.
创建者 Devesh D•
Mar 5, 2022
An excellent course in clinical research methods - covering the fundamentals of research types, data types and analysis tools. Very well taught and thorough explanation of material through videos and notes. Quiz questions and peer review assignments were also well designed. Great course!
创建者 Anesu M•
May 6, 2018
So so good! All concepts explained very clearly and concisely. Questions are very good for applying key concepts and assessing understanding. Practice quizzes are very helpful. Wish I had found this course when I first started Medical school - would've saved me A LOT of sleepless nights.
创建者 Wagner S B•
Jan 11, 2019
A fantastic intro to the statistics behind clinical research! I haven't done much of my own research, so I am not really familiar with data analysis yet, but the course gave me a great panorama of the basic key concepts and how to think about results more critically. Totally recommend!
创建者 Jairo d S F J•
Aug 29, 2020
Excelent course for those who want to employ statistics but get confused by theorems and proofs. You will learn habilities like: how to draw experiments, how to calculate statistical significance, how to evaluate statistical models, etc. You'll also learn a lot about medical research.
创建者 Patricia M F F•
May 19, 2019
Fiz esse curso porque precisava revisar alguns conceitos de estatistica. O curso explica bem os tipos de estatistica em artigos científicos, sem muitos detalhes de calculos. Tenho certeza que vou voltar algumas vezes ao curso, para rever detalhes. Valeu muito a pena ter feito o curso.
创建者 Laura M G•
Apr 13, 2020
Fantastic course, probably the best lecturer I have seen, very engaging. Course content ideal in terms of challenging but achievable, the tests required real thought, the videos were broken up into bite sized chunks with excellent complementary notes. Very impressed with this course.
创建者 Rosanne P•
Feb 15, 2016
Having no knowledge of the actual types of statistical research, I felt I gained a wealth of knowledge that will help me in my social science research as well. I believe that this was a great introductory course, however, I do feel as though it is a more advanced beginner's course.
创建者 Proloy B•
Nov 18, 2018
I have taken
"Understanding Clinical Research: Behind the Statistics" course and I found this course very useful and easy to follow critical topics of medical research. The instructions and course materials are well organized. I am greatly benefited from the course. Happy learning!
创建者 Alejandro H•
Jul 14, 2020
A very complete course, helped me to have a good foundation in research and statistics, the best online course I have ever taken. It helped me a lot that it is oriented to the health sciences. An excellent professor. It will help me a lot in my daily practice as a medical student.
创建者 Bassamah h•
Jan 10, 2018
A highly recommended course for colleagues as a refresher of basic statistical concepts and introduction of advanced statistical tools.Dr Juan is a very nice, decent teacher who delivers course in a very effiecient way with less time consumption. Big thanks to Dr Juan and team.
创建者 Felipe K O k•
Apr 29, 2020
It's a really nice course, it helped me a lot to be more confident about what i'm seeing when reading a study. It will help you with different doubts: p value, parametric and non parametric test (ANOVA, T TEST, Chi SQAURE...) and specificity and sensivility with diagnosis tests
创建者 Deleted A•
Jan 1, 2016
Thank you very much Juan, for your time and dedication! You really inspired me to take the path to research in the medical field! I never have had such a high standard course in clinical research! Thanks very much, I feel proud to have had the chance to be one of your students.
创建者 Vidya K•
Oct 3, 2021
I found this course very insightful and enjoyed learning through the words of Dr. Juan. Understanding the statistics used in medical journals has been made easier than ever before through this initiative. I will keep coming back to this material whenever I need a refresher.
创建者 Gene D•
Aug 27, 2018
Great refresher's course for those who took Biostat in college or in graduate school and a valuable backgrounder course for those who did not. It helps you navigate the Statistical section of the medical journals while assist you in appreciating the meaning behind the data.
创建者 Sherif M A A A•
May 9, 2020
A very systematic course that starts with you from the scratch of types of studies and types of data, and going with you to reach comprehensive understanding of the difficult values and parameters as P-value, confidence interval, odds ratio & types of statistical tests.
创建者 Jaya V•
Mar 25, 2022
It was easy to understand and concise course .i learned many aspectsmof research that i forgot and couldnt get a grip in bachelor's .Attendting this course will help me in my future exams and i am confident enough to start exploring more as i want to conduct reasearch.
创建者 Venkatesh P•
Apr 7, 2022
Enjoyed the course thoroughly. The basic concepts and definitions of clinical research and statisitics were explained very clearly. I strongly recommend everyone who is planning to gain knowledge in clinical research to take this course. Enjoy the journey of learning.
创建者 IAN M•
May 9, 2018
This course offers a simplified way of understanding the complexities of searching free full-text pubmed articles, study designs, sampling methods, statistical analysis and interpretation of scientific research. I highly recommend it to any clinical research beginner.
创建者 Katherine D•
Sep 8, 2020
I am so glad I chose this course! It is presented really well and Dr Klopper makes these concepts easy to understand and remember. I have a much better understanding of statistical analysis now and I am looking forward to applying it to the medical literature I read.