Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
Recommended for beginners in the field. Instructor John McGready presents the otherwise complex concepts of Biostatistics straightforwardly, with many examples and a perfect pace.
A wonderful look at multiple regression, including effect modification, interactions, and adjusted slopes.
It was a little hard course, but I have enjoyed learning these new materials. Thanks a lot to Coursera!
thank you everyone for give me a chance to learn more thing from this coursera courses
lecture pattern gives enthusiasm in learning and solving quiz sessions. explanations for the solutions gives immense strength and confidence in learning. Excellant course and marvellous experience
Very much informative and educative videos and systematically designed quiz sessions. Real treatise
The course is well structured. The numerous examples and practice questions help the student apply the concepts learned. I love the fact that almost every question was from a real article.
Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization
one of the finest courses on biostatistics, in order to get refreshed with the core concepts and applications!
Excellent Course! Dr. McGready opened the doors of a whole new world to me with this specialization. Proud to have concluded it.
This course covers all types of Multiple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.
The course was five stars, there were some quiz issues and a few numerical issues, but I learned a lot and appreciate the time and effort put into the content. Thank you!
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the course spends a lot of time repeating the same concepts. i would be more convinced if they spend more time in explaining how to make the multiple regressions , how many variables i can add and what are the limitations and how to make a measure of fitness
the course content is interesting and very informative. However, the lecturer's speech is not quite clear and it takes a great effort to understand his points. Moreover, there are always some mistakes in the quizzes. Not sure whether it is the problem with Coursera system or with the quiz content provided by the instructor. If the latter, it would be value-adding to correct those mistakes. If I have other options with similar content, I would not choose this course due to the quizzes.
This course is good but kindly add minitab or other software to analyse the regression model equation,so that software based learning is very much useful for researcher. Assignment questions give some software tool to analyse the regression submission .
I just completed the Biostatistics specialisation, so I have posted these comments on all the courses:
What I most appreciated: Dr McGready is a fantastic lecturer, and I learned a tremendous amount from his lectures. I feel that you need to do all four courses to truly appreciate all the lessons.
What I think will improve the courses: There are some mistakes in the quizzes and the answer sheets, and I think it is because Dr McGready used the lectures that he uses in his classes at JHU, but had to transcribe the quizzes into the Coursera format. I feel that the lectures would have had even greater value if we got to program some of the statistics and manipulate some of the data in R or SPSS.
Overall, I really enjoyed the specialisation, and I certainly got what I was looking for. Thanks again for all your hard work!
great, but please provide us with materials as PDFs or Powerpoint Pttx for self-study
I thank Professor McGready. He's enthusiastic and he really tries to make sure that you learn the materials. I really appreciated the fact that he uses several case studies from course 1 to this course so we can see how the material we learn is applied to the familiar fact pattern. The repetitive examples also reinforce learning. I just have a suggestion. From my perspective, and, I've taken many MOOC courses, the lecture-quiz approach works, but it can be enhanced by hands-on exercises via R or even spreadsheets. But, that was a minor point. In sum, thank you for the great specialization. I learned a lot.
Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization
Duplicated video in the logistic regression module. I've raised a concern request correction of the issue but no response, and now I've completed the course already.
Another amazing course of the series. The whole specialization was informative, I learned a lot, thank you Prof. McGready. Very challenging sometimes but worth the effort. Since the instructor mentioned computers several time, something that could be done to take this series to another level: combine it with some R software for statistics.
This is a phenomenal course to follow through and gain an understanding of the role data plays in healthcare. Sometimes something very small in nature has a huge effect, and it was awesome learning how to articulate and prove that during this course.
lecture pattern gives enthusiasm in learning and solving quiz sessions. explanations for the solutions gives immense strength and confidence in learning. Excellant course and marvellous experience
This course covers all types of Multiple Regressions. Instructor explained the complex topics in simple language. Relevant examples from clinical field and thorough explanation by the Instructor.
Very helpful in your explanations verbally and visually. It really helped me understand how to read and understand the cox regression model.
The course is good, however kind of not finished. The last week, before final project, has slides for the 6th lecture, but there is no lecture itself. The answers to the 3rd week formative assessment given via video link , which is not opening. I asked about that in discussion and help center- no replies anywhere. I have got my certificate...... but we are here not only for certificate, but for knowledge mostly.
i dont like statics
Este curso me encantó. El catedrático fue bastante didáctico y se preocupó por enseñar la base matemática para cada uno de los temas presentados. ** I loved this course. The professor was quite didactic and was concerned with teaching the mathematical basis for each of the topics presented.
Nice course, familiar with basic concept/method used in public health. I like the result interpretation part most, before this course I have no idea how to understand and interprete the results. This course enforce my understanding of basic stats in public health.
Great conceptual introduction to multiple linear and logistic regression. As it covers some more advanced topics, many of them rely heavily on "letting the computer do it," but this course will emphasize the concepts you need to understand in an output.
This is an outstanding course. Excellent, straight forward explanations. Great examples, ranging from those that report significant findings and those that show disappointing results. It advanced my understanding of biostatistics immensely.
Excellent course. What I couldn't learn from years of racking my brains reading books on statistics, asking doubts and watching YouTube videos, I have been able to understand conceptually after watching this series. Very very helpful.