Survival Analysis in R for Public Health(으)로 돌아가기

4.5
별점
268개의 평가
62개의 리뷰

## 강좌 소개

Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in this context. Using the popular and completely free software R, you’ll learn how to take a data set from scratch, import it into R, run essential descriptive analyses to get to know the data’s features and quirks, and progress from Kaplan-Meier plots through to multiple Cox regression. You’ll use data simulated from real, messy patient-level data for patients admitted to hospital with heart failure and learn how to explore which factors predict their subsequent mortality. You’ll learn how to test model assumptions and fit to the data and some simple tricks to get round common problems that real public health data have. There will be mini-quizzes on the videos and the R exercises with feedback along the way to check your understanding. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. The three previous courses in the series explained concepts such as hypothesis testing, p values, confidence intervals, correlation and regression and showed how to install R and run basic commands. In this course, we will recap all these core ideas in brief, but if you are unfamiliar with them, then you may prefer to take the first course in particular, Statistical Thinking in Public Health, and perhaps also the second, on linear regression, before embarking on this one....

## 최상위 리뷰

LA

2020년 7월 2일

Great course superb support and very clear professor. This course is a good motivator to continue to explore public health and statistics.

VV

2019년 8월 26일

Good and practical introduction to survival analysis. I liked the emphasis on how to deal with practical data sets and data problems.

필터링 기준:

## Survival Analysis in R for Public Health의 62개 리뷰 중 26~50

교육 기관: Faisal A

2019년 7월 22일

Very nice introductory course on survival analysis in R. Exercises were well designed.

교육 기관: LIANG Y

2020년 8월 24일

What a great course it is!!! I could get the solid basic knowledge from the course.

교육 기관: Anusha B

2020년 6월 15일

Awesome course learned a lot from this entire series. Thank you!!!

2019년 12월 26일

Take this course alongwith linear and logistic regression in R

교육 기관: Junwen Z

2020년 3월 15일

Very good introduction course for survival analysis in R

교육 기관: Klorence W

2020년 12월 14일

hope we could get some feedback on the final test

교육 기관: Sidney d S P B

2020년 7월 5일

Excelent! Professor Alex Bottle is superb!

교육 기관: amoulay

2021년 6월 30일

Amazing course overall. Learned a lot.

교육 기관: Ronpichai C

2020년 5월 24일

Great course for survival analysis!!!!!

교육 기관: Jin C

2020년 7월 31일

Nice lecture by the excellent lecturer

교육 기관: Jeffrey Y

2022년 3월 23일

Excellent course and instructor

교육 기관: Jesús A O D

2020년 5월 4일

Ecxellent, thak you, very much

교육 기관: Linh V M

2020년 7월 6일

Very interesting and useful

교육 기관: Shoummo S G

2020년 7월 11일

Excellent experience

교육 기관: Yasna P S

2020년 3월 4일

Excellent course!

교육 기관: Pedro M

2020년 4월 16일

Great course!!

교육 기관: fabien M

2020년 4월 23일

Great course.

교육 기관: Shakil A S

2021년 2월 17일

amazing!

교육 기관: Oleksandr T

2020년 8월 30일

Nice course, the lecturer explains very clear.

Just there are problems with p-value decimals, as Rstudiro free provides only two, and even with variable formatting, I git .275. when the result from Rstudio pro was .278 This confuses many students. Assignments need to be in 2 decimals calculated at the free version of RStudio.

교육 기관: Leo H

2020년 6월 4일

the use of R in the course was immersive and enjoyable, although the way some assignments were presented was inconsistent at times.

교육 기관: Yan X

2019년 11월 22일

The final quiz is a little bit confusing ,pls provide detailed feedback on it so we can learn further even we did not pass it.

교육 기관: Vajini A

2021년 1월 30일

Good intro, just wish there would be an intro to more advanced methods (e.g. time varying covariates).

교육 기관: Pau G

2020년 3월 17일

A fantasic intro to learn survival analysis where the time to the outcome is important

교육 기관: Deleted A

2021년 10월 23일

The legends are wrong in english and portuguese, but the course is great!

교육 기관: Basilio G

2019년 5월 13일

High-quality, thoroughly-designed, hands-on, introductory course.