[HN Gopher] Embracing Bayesian methods in clinical trials
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       Embracing Bayesian methods in clinical trials
        
       Author : nextos
       Score  : 68 points
       Date   : 2026-03-24 03:08 UTC (3 days ago)
        
 (HTM) web link (jamanetwork.com)
 (TXT) w3m dump (jamanetwork.com)
        
       | doctorpangloss wrote:
       | > Although an adaptive design guidance finalized in 2019 left the
       | door open for bayesian trials, their use in drug development has
       | to date been limited,4 such as in Ebola and SARS-CoV-2 epidemics
       | and in pediatric and rare disease trials.
       | 
       | the reason it has been limited to those cases is
       | 
       | drug development, today, is constrained by commercialization.
       | 
       | all four categories listed - ebola, sars-cov-2, pediatric and
       | rare disease drugs - each for their own reason, have low
       | commercialization risk, so if they are scientifically robust
       | solutions, there is ROI.
       | 
       | most drugs in development today are new indications for existing
       | molecules, generally in oncology, also because these are the most
       | favorable conditions for commercialization.
       | 
       | commercialization, commercialization, commercialization. people
       | don't want innovations in drug approval, nobody is clamoring for
       | that. they want innovations in commercialization.
       | 
       | i don't _know_ if bayesian methods will make trials a _lot_
       | cheaper. and that 's their problem! there are already a lot of
       | very smart people working on this issue, and they have litigated
       | to death all the objective facts.
        
         | cogman10 wrote:
         | There's a weird thing that happens with cancer drugs that I
         | just experienced.
         | 
         | When they are working with a pharmacy and your insurance, the
         | price they'll charge you is $10,000 for enough pills to last a
         | month. But when your insurance says "We won't cover that" all
         | the sudden you find out the company has a backdoor
         | subsidization program which will fully cover the cost of the
         | drug for reasons I can't really fathom (good will?)
         | 
         | What's even more uncomfortable is my insurance (aetna) also
         | mandates that I get my medicine from their subsidiary, CVS.
         | 
         | I really don't like this sort of thing. The price of everything
         | in medicine feels distorted in unbelievable ways. Like famously
         | a $0.25 acetaminophen pill that somehow magically costs $10 in
         | the hospital. I guess there's some nice individual packaging.
         | 
         | I'm less and less convinced that it's even a cost sort of thing
         | with these pharmaceutical companies. Like, sure they'll love to
         | reduce that as much as possible. But the price itself seems
         | entirely fictitious and based on what they can commonly get
         | insurers to pay, and not anything related to the actual R&D of
         | the drug.
        
           | ggm wrote:
           | The mutability of the price emphasis the cost/price disjoin.
           | 
           | Probably you are a soft recruit to "they got better' numbers
           | for post trial marketing but even then, it's like a Ford is
           | $30,000 or $3 depending how easily it can be sold.
        
           | doctorpangloss wrote:
           | > I really don't like this sort of thing. The price of
           | everything in medicine feels distorted in unbelievable ways.
           | Like famously a $0.25 acetaminophen pill that somehow
           | magically costs $10 in the hospital. I guess there's some
           | nice individual packaging.
           | 
           | okay well, let's say you were to model "what explains the
           | price of something" and you had two factors in your model,
           | "markets" and "politics." most good models will have a
           | residual which means "everything else."
           | 
           | when i say "low risk" to commercialization, i could mean a
           | lot of things. it depends on what the drug category is.
           | 
           | if you develop the only cure for an otherwise fatal,
           | pediatric, congenital disease, the parents will be willing to
           | pay an unlimited amount of money for it. so there's no market
           | price for it. so we know that, no matter what, a correct
           | model for that is, 0% market. this is really, extremely
           | difficult for most people who look at this issue, because it
           | renders their opinions about what should you pay for this
           | drug basically moot. they'll all have different answers. so
           | the numbers of our independent variable, "price people are
           | willing to pay" will be uncorrelated with the price people
           | actually pay. and this is one of those instances where the
           | absence of correlation means no causation. instead of looking
           | cogently at this situation and saying, "well, okay, maybe i
           | should temper my outrage about drug pricing in this actually
           | very important scenario" they just get more outraged.
           | 
           | so what factors are left: political and everything else?
           | well, the drug is effective, it's a cure, this describes a
           | lot of drugs. that's what we are talking about, effective
           | drugs. the FDA process has ALSO attacked the importance of
           | market pricing from this angle too, the clinical trials
           | process here and how it has been standardized around the
           | world basically works. so the residual, if it's about the
           | efficacy of the drug, actually does NOT explain the price
           | very much at all. this is counterintuitive!
           | 
           | this is why a CURE for a disease is not 10x more expensive
           | than something that already exists and manages a disease.
           | so...
           | 
           | what's left? my guess would be, the price would be explained
           | by, okay, a lot of it will be political. like 90% political.
           | this is what i mean by "low risk of commercialization."
           | nobody is going to win an election being like, your kid
           | should die.
           | 
           | are you getting it now? you are getting hung up on prices.
           | you don't know the first thing about prices. you think the
           | journey to understanding prices has to do with "$0.25
           | acetaminophen pill that somehow magically costs $10 in the
           | hospital" and hospital charge lists or whatever, which is
           | 200% wrong, that's a huge red herring.
           | 
           | prices in categories that are low commercialization risk are
           | almost always explained by a political process. which is to
           | say, all the innovations today in commercialization are
           | political. that's bad. but that should also illuminate why,
           | if I were running the FDA, that's where my focus would be -
           | besides, at the rest of the HHS, 10x the basic science R&D
           | budget.
        
             | selimthegrim wrote:
             | Isn't the usual answer here to try and segment the market
             | and even if your initial guess is horribly wrong price
             | discovery will follow?
        
         | nextos wrote:
         | > the reason it has been limited to those cases is drug
         | development, today, is constrained by commercialization.
         | 
         | That's a good observation, but I think it's an incomplete
         | picture. Another important constraint is often regulatory
         | inertia and historical baggage.
         | 
         | The UK pioneered small classical and adaptive trials using
         | Bayesian methods, and there were some promising results. A lot
         | of modern Bayesian methodology was, in fact, developed at the
         | MRC BSU Cambridge with this goal in mind. For example, the
         | probabilistic programming language BUGS (1989).
         | 
         | Given that most drugs fail, the industry is highly incentivized
         | to use Bayesian methods to fail faster. These models allow for
         | more rapid dose-finding and the ability to distinguish
         | promising leads using interim data, which is vital given the
         | massive cost of any trial, especially late-stage failures.
         | 
         | But for Bayesian methods to make a dent, they'd need to be
         | applied to a large number of trials, and change doesn't happen
         | overnight. Lots of big pharma players, e.g. GSK, are becoming
         | interested in moving to Bayesian methods in order to leverage
         | prior information and work better within small-data regimes.
        
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