Another thing I want to address from a mathematical point of view is the following idea: (Using fake numbers) - Does four successful Phase 1b trials with n=25 each equate or override one unsuccessful Phase 2 with n=100?
No. There are many reasons for this, but here's a simple reason. In Phase 1 trials, the primary thing being tested is safety. This means the recruiting approach is to choose smaller sample sizes with the understanding that the absolute worst thing here is safety violations. Efficacy could be a pleasant accident, but it's not the main benchmark.
Trial design and statistical inferences planned in advance are also more experimental. Don't believe me? Here's a quote from the published Phase 1/2 paper:
A sample size of approximately 24 subjects was considered adequate for an initial assessment of safety and tolerability and was not based on formal statistical considerations. Prespecified statistical analyses were exclusively descriptive and included 95% confidence intervals (CIs) as appropriate. Audiometric analyses were considered exploratory and conducted without multiplicity adjustments.
What they are basically saying is "we're not trying to prove anything about efficacy." The problem is, to do science properly, this trial can't be used as an efficacy proof just because they like the results. Why? If the results were bad, they would say "Oh, well we were focused on safety." They will use the same excuse if the remaining Phase 1b trials fail.
On the other hand, a Phase 2 efficacy study -- even if it's a Phase 2a so
slightly more experimental -- is largely putting yourself out there on display. If they results are a boom, you get to celebrate. If they are not, you have to save face.
There are also technical reasons why a bunch of Phase 1 studies don't equate to a Phase 2. For example, four Phase 1 studies introduce four sets of recruiting standards, and therefore, four sets of fixed effects.
If they somehow get this to pivotal on the backs of a bunch of successful Phase 1 studies (probability is so low that it shouldn't invoke any emotional investment), it will have everything to do with a current lack of other drugs. It has nothing to do with finagling the science in a convenient way.