Kert Viele
@kertviele.bsky.social
270 followers 87 following 230 posts
Director of Research, Berry Consultants. Clinical trial designer specializing in Bayesian adaptive trials. Fellow of the American Statistical Association.
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kertviele.bsky.social
It’s a really bizarre business model to me. It seems aimed at SEEMING like our standard data analysis paradigms, but it’s much like me deciding to fit a linear regression and instead of telling you the coefficients, I instead give you a bunch of (X,Y) pairs generated from my fitted model.
kertviele.bsky.social
None of this is properly “data”. At best it is a snapshot of a predictive distribution from some black box AI model fit. What you are estimating from such things is, at best, the AI model fit from the actual data (which the AI could just provide directly instead of “data” but often doesn’t).
kertviele.bsky.social
Feels a bit like dominantly inherited Alzheimer’s. Genetic basis, somewhat predictable age of onset, etc.
kertviele.bsky.social
From a modeling perspective we can have a debate. But in reality sites are far from random. Sponsors have preexisting arrangements with productive sites etc.
kertviele.bsky.social
Other applications of hierarchical models here for borrowing across different regions of the world.

cdn.who.int/media/docs/d...
cdn.who.int
kertviele.bsky.social
After a month I can’t remember what my own code does by reading the source (well at least it takes a while, and I don’t think I’m the worst coder). My help files are for me. If they help someone else too, great.
kertviele.bsky.social
It's unclear the conclusions in that paper...that essentially the extra complexity isn't worthwhile...apply outside of the context of that paper, particularly the small sample sizes.
kertviele.bsky.social
There are multiple versions. Some are simply a hierarchical model over studies. Others fit a two component mixture with one component having the current study independent of others. Others fit more complex models like dirichlet processes.
kertviele.bsky.social
Utilities. If you aren’t using good ones explicitly, you are likely using bad ones implicitly.
lauretig.bsky.social
47. People really don't know what to do with ordinal variables, so they either treat them as continuous or dichotomize them
kertviele.bsky.social
Of course, seeing people submit false AI references can be very informative about their quality control….we have already caught false references in potential FDA submissions.
kertviele.bsky.social
I can see my kids adding "but we are still collecting data to increase power".....
charnel-pleasures.bsky.social
After like a decade and a half of free-riding on @zachweinersmith.bsky.social’s public goods, I finally decided to engage in a Coasean bargain to compensate for my consumption of his externalities.

@smbccomics.bsky.social #SMBC #Economics #stats
kertviele.bsky.social
But...but....I really like my
Bayesian Adaptive Design And Subject Simulator
software....
Reposted by Kert Viele
kertviele.bsky.social
I think this issue is one of the most appealing aspects of Bayes. With Bayes the posterior distribution is the basis for inference, and it is invariant to the design.
kertviele.bsky.social
Agree with proper terms in the model the hybrid isn’t itself bad, although if you can individually randomize I would strongly recommend doing that from the start. Separate issue if you think one part of the hybrid is biased.
kertviele.bsky.social
I can’t comment on the percentage of the industry that does such due diligence as standard practice, but we have done a lot of consulting for venture capitalists to vet what they are potentially investing in.
kertviele.bsky.social
Ah you got me. It’s not that old (maybe 5 years) but my beard has turned grey in the meantime! It’s a good picture because my son was joking around in the background.
kertviele.bsky.social
The right frequency is based on how often you take a good picture. Those simply could be 20 years apart for some of us.
kertviele.bsky.social
Agree lots of problems implementing this. Amusingly this may mark the return of the travel agent, suddenly back to manipulate the AI that is trying to manipulate you.
kertviele.bsky.social
Said like a true Bayesian
Reposted by Kert Viele
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kertviele.bsky.social
“Would you consider an adaptive trial”

“No we’re going to enroll too fast”

“Are you sure? Some kind of adaptation will be a partial insurance policy against slow enrollment”

“We are sure”

One year later….

“Can we amend our protocol….”