I found this course really useful. It actually made you do work and it wasn't necessarily easy to pass the end of module content, which I feel made the course so much more valuable. Highly recommend.
I am glad to learn a lot of terms in statistics and how to use and interpret them in the context of Public Health researches. The Instructor provided enough examples to understand the lessons better.
автор: DAVIDE M•
автор: Kathryn S•
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автор: DARWIN A L F•
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автор: Masoud M•
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автор: Dr.Jagadesaan N•
автор: Michele B•
This course is a good introduction to summary statistics that you might see in public health research. Covers normal distributions and standard deviation, binary data (risk difference, relative risk, odds ratio), and time-to-event data (IR hat, IRR hat, survival time/Kaplan Meier curve). The lectures are good and the instructor provides 'additional examples ' lectures. Some additional explanation of terms would be helpful. Course quizzes can be tricky - you have to type in something exactly as was entered in the key to get credit and the phrasing of some of the questions is confusing. Overall, a good intro to biostats.
автор: Eman A S•
Learned a lot of new concepts and refreshed the part of my brain that studied probability mathematics, etc as a highschool senior -- unfortunately, mathematics that seem to get abandoned during most of med school. Instructor guides you through the topics in a really intuitive way.
Admittedly, it seems as though the topics i was most curious about only appear in subsequent courses, so i am slightly disappointed. Hopefully future courses also come with a free trial!
Give it a shot to cement your understanding of stats as used in the news, and in public health in general!
автор: Pius A O•
I took the course to improve my competencies and build my capacity in biostatistics. This course has helped me to understand some biostatistical concepts that I did not fully grasp before now; e.g. standard deviation of binary data, some aspects of risk difference and relative risk and Kaplan-Meier plots. In fact, I'm impressed with the explanation of how to interpret risk difference and relative risk, i.e. for groups and individuals respectively!
автор: Nikolai G R•
Very comprehensive and informative course. It was easy to grasp because concepts were simplified and examples were shown for each topic. Some of my comments include the relatively long videos some of the lectures, which may be condensed or broken down further; as well as the use of pen marker during the lecture which is, at times, difficult to see or read.
автор: Ulukbek Z•
Everything was good. Instructor is good but because online courses are some kind international, he should talk more slowly and more precise for international students. I know he is precise for English speaking participants. Anyway, his explanation and examples were very good. Thanks.
автор: Michael J•
Excellent survey of statistical methods, interpretation and presentation. Prof. McReady's interest in and eagerness to share guidance on proper use of statistics in public health might convey better with improved graphics, but were on the whole very understandable and compelling.
автор: NITESH B•
Fantastic and inspiring course. Very essential for everybody in the field of public health. Prof. Dr. John is extremely lucid and clear. Additional information or any added reading materials might help the aspirants.
автор: Dana S•
Excellent explanations and interesting quizzes. I really enjoyed the final project. There was some echo throughout the lectures which was somewhat distracting, but that's minor. Thank you very much!
автор: Pinelopi T•
I loved the profesor and the entire course. Many examples, simple language, great for understanding the basics of statistics. I'd have loved it if it contained more information about more subjects
автор: Emilyann L R•
Great course. Couple of hiccups along the way, but I think they are all ironed out now. The instructor is excellent at explaining and providing relevant samples to demonstrate course material.