A talk by Stephen Senn

I’ve just heard a nice talk by Stephen Senn, entitled “In search of lost infinities. What is the ‘n’ in big data?”

The moral was that, in clinical trials and observational trials, everyone assumes that more data mean more accurate estimates; but, if you have not thought carefully about the model, and even sometimes if you have (because of unavoidable effects) this is not so, the variance of the difference between estimates may not tend to zero as the number of observations tends to infinity. This is especially the case with using historical data.

Somewhat technical, but you can read at least part of it here.

Perhaps best of all, he had some very nice one-liners. My favourite was this:

Being a statistician means never having to say you’re certain.

Advertisements

About Peter Cameron

I count all the things that need to be counted.
This entry was posted in Uncategorized and tagged , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.