BBR Video Course

A new almost-weekly web course Biostatistics for Biomedical Research will be launched on October 4, 2019. The course is intended both for consumers of research (understand study design, stat methods, stat interpretation) and those doing research (slightly more so for those who work with statisticians). Statisticians may also enjoy the course and entering into the live discussion on YouTube. The main page for the course is here which will contain registration information in early September.

Some topics requested by @f2harrell followers on Twitter, which will be considered for future sessions, include those below. Please request other topics or make other suggestions about the course by replying to this post. New topics will be opened in datamethods for each one-hour sessions.

Ideas for Managing Live Questions and Answers

More than 600 registrants so far plan to participate by watching by live streaming on YouTube. YouTube offers a live chat that is also replayed as if it were live if the recording of the video is watched later. Offline and in-depth discussion will take place on a session’s datamethods topic. I need input on how best to manage Q&A on live chat. A few of my colleagues have volunteered to help moderate the chat, but I’d like some ideas on how to keep it organized and manageable. In an ideal world, the chat could be organized by sections in the BBR notes that are covered in the session, and participants would add their questions in the appropriate section, but the YouTube chat does not support that. I thought about using an Etherpad instead of YouTube chat to force this type of organization, but EtherPads usually choke with more than 50 simultaneous users. Ideally no one would enter duplicate questions or off-topic questions, and would only add a question when the section to which it pertains is still being presented. Please add your thoughts by replying to this topic.

Suggested Topics

  • covariate adjustment in RCTs and writing stat plans for same
  • prediction and decision making in medicine
  • graphics
  • interactions
  • power calculation
  • RCT Table 1
  • most common errors in RCT interpretation
  • confounders
  • variable selection
  • multicollinearity
  • data transformation
  • inference vs prediction
  • simulation based power calculations
  • use of AUC/C-statistic to assess predictive utility of models (esp how NOT to interpret them/misuse)
  • measurement error and misclassifiction in covariates
  • stat methods for studies currently in the news
  • optimal evaluation of model fit
  • predictive ability, etc for different classes of models
  • practical use of ordinal models and specifically, how to logically interpret their output
  • practical overview of how to pick and justify priors for Bayesian models, specifically how to allow interactions to be half in and half out of the model
  • regularized models and their practical use in medical studies
  • hierarchical modeling for provider performance benchmarking / public reporting
  • missing data and multiple imputation

I’m sure there will be great demand for such a course. I’ll be sure to advertise it on my Twitter.

1 Like

How do we sign up for this course? I am in Australia but happy to cope with the time difference :-)! Caroline

Good. Once it’s scheduled I’ll post (free) registration instructions here at the top posting, and on twitter (@f2harrell). Registered participants will also get to view recordings of the live stream.


Can’t wait! Have bookmarked this thread to keep an eye on it :slight_smile: Thanks, Frank - great effort!


I am a Biostatistician in Indian Council of Medical Research at ICMR-NIRTH Jabalpur and have very limited access to such a free course and Continuing Education, am sure this will be of immense help to me very keen to learn newer technologies. Thanks n regards. Arvind Kavishwar


topic of possible interest: hierarchical modeling for provider performance benchmarking / public reporting.


This is such a great initiative, thanks for your work!


I am a critical care physician with a keen interest in biostatistics. I wish to register for the course. Please let me know the free registration instructions. Thx

Great! I’ll announce the opening of registration on twitter @f2harrell or you can watch for an update on . :new: The course begins 2019-10-04 at 10am US Eastern Time.


For the questions and answers, I think a good way is to select the most interesting ones, and dedicate some specific sessions to answer them.

1 Like

Which shows the prestige and charisma carved over the years among doctors and statisticians.

1 Like

Frank, Have you yet posted the registration link?

Yes it’s at

One way to handle question for which I’d appreciate some thoughts is to let anyone answer others’ questions in the live chat but I don’t answer any until summarizing questions at the start of the next session.


I like this method. It will allow you to get through the suggested material. If there is any spare time at the end of the video, perhaps the “most voted” question(s) could be discussed.

Other questions could also be discussed in between videos and then those with the highest impact could be highlighted at the beginning of the following video.

1 Like

i’d like to register but i will likely skip the first couple sessions which sound like an intro to biostats. Is this ok? or i should register later when i expect to participate so you have a better sense of the numbers. cheers

The first two sessions are especially important, and I’ll wager that it covers things that most intro biostat courses do not cover.

1 Like

interesting survey results ie “How accepting are you of the use of Bayesian statistical methods for data analysis and inference?” highly skewed towards accepting.

What if you created a Reddit thread and people would upvote the questions they have. Remove the moderators and leave it to the community to help regulate.

1 Like

i wondered about that, discord also could be an option? i’ve never used it