Вернуться к Understanding Clinical Research: Behind the Statistics

звезд

Оценки: 2,792

•

Рецензии: 844

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....

AM

15 дек. 2018 г.

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 июля 2017 г.

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!

Фильтр по:

автор: Mohammed Z

•26 дек. 2018 г.

Finally, I have an intuitive understanding of clinical research!

I completed 2 online courses in clinical research and statistics before this course but I did not get much benefits. But “Understanding Clinical Research” is the best. It is an excellent course for beginners who are interested in clinical research and medical statistics but do not know where to start from. Finally, I have the knowledge and trust to start my own research. This course introduced my to the different study types, types of data, the concept of many complicated statistical terms as P value, confidence interval and a lot of statistical methods and tests. On a scale from 1 to 5 when 5 is strongly agree, I would choose 5 to highly recommend this course for my friends. This scale is an ordinal categorical data type by the way :)

Thank you for this amazing course.

автор: Abbaas A

•26 июля 2019 г.

A great introduction to understanding research and a great platform to springboard keen clinicians into performing their own research. Will take what I've learnt and apply it to my own research!

автор: Giedrius V

•28 сент. 2016 г.

This course mainly focus on statistics and statistical parameters and almost nothing about about Understanding Clinical Research - as title anotate

автор: Lee Y K

•29 июля 2017 г.

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!

автор: domenica s

•26 мая 2018 г.

I'm very new at this theme, this course has being the perfect beginning. If you don't have a mathematical background and you don't understand when the funny S appear, this is the course for you!

автор: Agnieszka B

•25 апр. 2020 г.

This is an outstanding course! I never thought that I'll be able to understand those complicated statistical issues (even if it's only a basic level). It takes a great talent and level of understanding to transfer knowledge in such an easy and comprehensive way. After the course completion I was surprised during the final exam - it was unusual to see how much I've learned, remembered and understood! If my biostatistic classes would look similar to this course, my master thesis writing would be so much easier. Thank you so much Juan for the opportunity to gain the confidence and understanding of basic statistical issues, now I'm not intimidated by "Materials and Methods" section anymore.

автор: Mohamed E

•23 нояб. 2018 г.

It is a great course but it needs more supplementary sources. Furthermore, the lecturer is fine but he only reads the script without some deep explanation of some issues. All in all, it is a great course for building the basic principles about clinical research and statistical concepts

автор: Ahmad M

•2 мар. 2018 г.

The explanation is not clear at all . He only read things without clear explanation. It's a review course . If you are a beginner believe me you won't understand what he says after the third week .

автор: Andres M

•16 дек. 2018 г.

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.

автор: Juan B

•2 мар. 2019 г.

I managed to understand very important concepts of statistics used in the writing of articles, my understanding in the reading of scientific texts has improved a lot

автор: Unique L

•20 мая 2018 г.

I thought it was a good course overall. Initially, I was very excited about it as the initial videos and materials are engaging. However, the course slacks off during the most difficult concepts. There were less depth provided in the course note or videos. Overall, I am happy I took the course.

автор: Shruti B

•6 июня 2020 г.

Some lectures were boring, so difficult to follow.

автор: Venkataragavan

•28 сент. 2019 г.

I am a Masters student in Molecular Biology. Though this course uses examples from Clinical Research ( and probably best that it did!), I was able to get a what-does-a statistical-term-actually-mean understanding of the myriad tests that I find in the literature. That makes a whole lot of difference in how I view the Data Analysis section of a paper from now on! I have learnt to understand the pros and cons of each test and what exactly to look for.The course has achieved what it intended to achieve. Not to teach the maths of a stat test but to explore the understanding behind why a particular test was used as opposed to another test!

автор: Philip G

•16 окт. 2016 г.

I found this course to be excellent. The material is high-yield in every regard, giving the right balance of big-picture understanding coupled with enough detail to flesh out the experience and the understanding. The professor was very direct and clear in his explanations; I consider the course to be extremely well taught. There were a few areas where the explanation could have been slightly more illustrative or detailed, but nobody is perfect. Overall this is a very valuable course and a worthwhile use of time for any medical practitioner who has to interact in any way with the world of research.

автор: Haran S

•9 мар. 2021 г.

Good course, does exactly what it says on the tin. Nice beginner introduction for further statistics courses. PROS - Lecturer is very clear in explanation - Videos are short, sweet and to the point - Notes following videos are useful - Quizzes come with good explanations of the correct/incorrect answers - V good explanation of p-values, sample and population distributions, T-tests, parametric vs non parametric tests CONS - Further explanation of certain concepts would be useful (e.g. degrees of freedom are mentioned/calculated without any explanation as to what they are and why exactly they are important) - the opportunity to perform simple calculations (with a calculator), e.g. Chi-squared, standard deviations, Student T-test would have been useful - Correlation coefficients and linear regression lectures were perhaps slightly superficial.

автор: Pinelopi T

•18 нояб. 2020 г.

A very good introductional course. Started off great, gave me a good understanding of the basics. Although after some point you get too much information and I'd have liked more examples to help me understand.

автор: Mohamed E

•8 окт. 2020 г.

the concepts in the course are very good but to me the explanation was poor I had to search for a second source to explain most of the concepts especially in the late weeks of the course.

But generally, the course is good and it will help you understand some of the statistics used in medical lecture

автор: Brian S

•20 мар. 2020 г.

As the great majority of reviews say, this is a very, very good course. I learned a great deal over the six week format for the purpose identified: to develop a better feel for the data sections of medical/clinical research papers, for those who are not researchers themselves. There are plenty of videos, all short enough. The quizzes and tests mostly reinforce the learning well, but occasionally they are too hard or raise topics and terms not yet given in the lecture. The two self-assignments--each reading a real paper and identifying its research methods and statistical analysis--was very helpful to me. I am not sure that most students take this part seriously enough (from what I saw when I peer-reviewed), but you get out of it what you put into it. My only wish in terms of content is to have more explanation of p-value; it could really use a second week of attention. Still, there is so much to learn about this topic, that this course gives you a great foundation to go find some other online videos and articles to continue your learning. Great job, Dr. Klopper!

автор: Ahmed E

•20 нояб. 2016 г.

Great course, really grabs the core of research without bothering the student with statistical equations.

I highly recommend the course for all healthcare professions regardless whether they are interested or not in clinical research, because we are now at an era of publications, and everyone of us will be confronted by a piece of research that he will need to understand and at least be able to assess the quality of what in hand.

I would like also to thank the mentors especially Dr. Juan, for the great effort and the simplified course they had given, it was really motivating to continue to the end.

автор: Radiance O

•30 июля 2020 г.

Wow! This is the most useful and well delivered course I have ever undertaken. It is a 'must take' course, which should be a prerequisite for all clinicians, especially mandatory for all intending lecturers of medical schools and researchers. As a result of this course, I am more confident in supervising residents who take on quantitative research for their dissertation. I can't wait to apply the knowledge I got for my personal research and, training of medical students and residents on quantitative research methodology. Thanks Dr. Klopper! Thanks coursera!

автор: Massimiliano B

•25 июля 2019 г.

Perfect course four clinicians that want better understand the logic under a clinical study and the use of statistic in standard data analysis. I will suggest this course to all clinical researcher that need a basic but complete understanding of statistics applied to daily clinical problems.It will help you better understand papers (an allow you to read them more critically) and better chose between different approaches, designing a clinical trial or doing statistic for it. This course is explained in a simply way and the supports are very well prepared.

автор: Jaeseok P

•1 мая 2020 г.

Wonderful course. He is an excellent instructor. Trying to teach statistics without math is a difficult task, akin to teaching physics without math. I believe he found the right balance between the two and it fulfilled my needs.

My goal was to learn about statistical tests and how to use them. The foundational work from weeks 1-4 was useful, but the real meat was in weeks 5 & 6. I personally would have liked just a little algebra during the explanation on the Chi-Square test, as it would explained things a lot better. For this I utilized Khan Academy.

автор: Joseph C M

•15 мая 2020 г.

Wonderful and insightful course! A must for beginners who have stepped into clinical/ allied medical research, as the course structure is meticulously prepared to help biologists (who are weary of daunting mathematics behind statistical analysis) easily understand and conceptualize statistical analysis. I personally have better understanding on how to view my data, what tests to perform and how to infer the results. The instructor clearly has instilled in me the confidence and ethical morality to look at data and analyze it.

автор: Sean K

•28 февр. 2019 г.

I very much enjoyed Dr Kloppers course. He manages to teach a wide range of statistical theory within a clinical framework – which is where the value added was as far as I am concerned as I am not a clinician, but I do need to know my way around reports and assessments etc. Further, if the course leaves you wanting more (and it should) look at Dr Klopper’s YouTube page – the content is superb.

автор: Armida S

•27 мар. 2020 г.

This is an excellent course for resident doctors and clinicians who wish to review the basics of statistics in medical research. The examples and case studies given are very helpful in understanding the application of the different statistical tests that were mentioned throughout the course. Thank you very much for the wonderful lectures, Dr Klopper!

- Аналитик данных Google
- Управление проектами от Google
- UX-дизайн от Google
- ИТ-поддержка Google
- Наука о данных IBM
- Аналитик данных от IBM
- Анализ данных с помощью Excel и R от IBM
- Аналитик по кибербезопасности от IBM
- Инженерия данных IBM
- Разработчик комплексных облачных приложений IBM
- Маркетинг в социальных сетях от Facebook
- Маркетинговая аналитика Facebook
- Представитель по развитию продаж от Salesforce
- Сбытовые операции Salesforce
- Бухгалтерия от 'Интуит'
- Подготовка к сертификации Google Cloud: облачный архитектор
- Подготовка к сертификации Google Cloud: специалист по инженерии облачных данных
- Начните карьеру
- Подготовьтесь к сертификации
- Продвинуться по карьерной лестнице

- бесплатные курсы
- Изучите иностранный язык
- Python
- Java
- веб-дизайн
- SQL
- Cursos Gratis
- Microsoft Excel
- Управление проектами
- Безопасность в киберпространстве
- Людские ресурсы
- Бесплатные курсы в области науки о данных
- говорить на английском
- Написание контента
- Веб-разработка: полный спектр технологий
- Искусственный интеллект
- Программирование на языке C
- Навыки общения
- Блокчейн
- Просмотреть все курсы

- Навыки для команд по науке о данных
- Принятие решений на основе данных
- Навыки в области программной инженерии
- Навыки межличностного общения для проектных групп
- Управленческие навыки
- Навыки в области маркетинга
- Навыки для отделов продаж
- Навыки менеджера по продукту
- Навыки в области финансов
- Популярные в Великобритании курсы по науке о данных
- Beliebte Technologiekurse in Deutschland
- Популярные сертификаты по кибербезопасности
- Популярные сертификаты по ИТ
- Популярные сертификаты по SQL
- Профориентация: маркетолог
- Профориентация: руководитель проектов
- Навыки программирования на языке Python
- Профориентация: веб-разработчик
- Навыки для аналитика данных
- Навыки для UX-дизайнеров

- Сертификаты MasterTrack®
- Профессиональные сертификаты
- Сертификаты университетов
- MBA и другие дипломы в области бизнеса
- Степени в области науки о данных
- Степени в области компьютерных наук
- Дипломные программы по анализу данных
- Степени в области общественного здравоохранения
- Степени в области социальных наук
- Дипломные программы в области управления
- Дипломы ведущих европейских университетов
- Дипломы магистра
- Степени бакалавра
- Дипломы с карьерными путями, ориентированными на результат
- Бакалаврские курсы
- Что такое диплом бакалавра?
- Сколько времени нужно для получения диплома магистра?
- Стоит ли получать диплом MBA онлайн?
- 7 способов оплатить магистратуру
- Посмотреть все сертификаты