- May 22, 2019
- 257
- Tinnitus Since
- 01/2019
- Cause of Tinnitus
- NIHL & TMJ
I am not a mathematician, but if the probability of not seeing clinical improvement is 1/3, then the probability that all three people would see no improvement would be (1/3)*(1/3)*/(1/3). That is around 4%. Not a good start and maybe my understanding of probabilities is wrong as well. I personally still believe there is promise in this technology.I really don't get this attack against people who want to wait for more than 3 reviews to get a good sample size.
Do some people not have a basic grasp of statistics?
Get a grip. It's pathetic.
There's statistics and then there's common sense. This wouldn't be the first time that this company has rushed an underperforming product to market. That combined with the lackluster "testimonials" and the fact that Dr. Lim was likely brought in out of desperation puts the existing user experiences into perspective. At the end of the day you can take all the passive aggressive swipes you want and it isn't going to change the fact that the device is preforming at a level that is inconsistent with the company's claims of efficacy.Judging by that response, it looks like you haven't.
I'm not rooting or booing for this. I'm waiting and seeing. Chill out. Resorting to call me some sort of "deniar" so quickly. Pitiful.
Here's a statistic for you:I really don't get this attack against people who want to wait for more than 3 reviews to get a good sample size.
Do some people not have a basic grasp of statistics?
Get a grip. It's pathetic.
I mostly agree with what you say here. We're just not at the point where we can call it.Even if you take the small sample size into account, the results aren't encouraging at present.
If an uptick in testimonials is to happen either due to the device taking longer to have an effect or seeing more people participate in the user reports, I don't think it should take much longer to manifest. If we're in this same exact position in another 3-6 months it's just going to be literally impossible to reconcile against Neuromod's statistics. And if we get to that point then...
View attachment 32635
They've already recorded a recent interview for Tinnitus Talk, right? We need to see that interview, STAT.
Ditto. I got a tip that Reddit has some chatter. I see you and some other Tinnitus Talk members have been there too. I checked it out and found only one person not on Tinnitus Talk who reported mild improvement (of which I classify as in range of placebo).
Yes definitely. There are a whole lot of other parameters we are looking at as well. However, remember that correlation is not causation.Are you guys accounting for age?
Unless someone is at a window just between moderate and severe, then even a small improvement in loudness itself would make a huge difference in day to day life.I suspect that Lenire will not be enough for patients with severe tinnitus. It may be an option for moderate cases.
By that logic the probability of getting two responders and one non responder would be:I am not a mathematician, but if the probability of not seeing clinical improvement is 1/3, then the probability that all three people would see no improvement would be (1/3)*(1/3)*/(1/3). That is around 4%. Not a good start and maybe my understanding of probabilities is wrong as well. I personally still believe there is promise in this technology.
Dude, you're the only one taking swipes. I'm just stating facts. We can't call it yet, our sample size is too small and unreliable. I agree it's a little underwhelming, but then again it's still early.There's statistics and then there's common sense. This wouldn't be the first time that this company has rushed an underperforming product to market. That combined with the lackluster "testimonials" and the fact that Dr. Lim was likely brought in out of desperation puts the existing user experiences into perspective. At the end of the day you can take all the passive aggressive swipes you want and it isn't going to change the fact that the device is preforming at a level that is inconsistent with the company's claims of efficacy.
Any reasonable person would have to admit that at this point Lenire has failed to live up to the hype. You can spout all of the statistical jargon you want and it doesn't change that. If the device was consistently producing positive results you wouldn't resort to being openly dismissive of other points of view simply because you "took a class". It's the kind of tactic that people resort to when they sense they're losing an argument.Dude, you're the only one taking swipes. I'm just stating facts. We can't call it yet, our sample size is too small and unreliable. I agree it's a little underwhelming, but then again it's still early.
So far, we don't have enough to work with. Maybe it'll prove you wrong and this device works. Maybe I'll be agreeing with you that this is a dud.
But I can say neither right now.
No, it's not. You forgot to add to that (2/3)x(1/3)x(2/3) + (1/3)x(2/3)x(2/3) which sums up to the right probability of around 44%. Sorry for being a nerd, just thought that false information should be corrected.By that logic the probability of getting two responders and one non responder would be:
(2/3) x (2/3) x (1/3) = 14%.
Totally agree that this still had promise however! Very early stages.
Depends on what the hype was and who was creating it. It wasn't Neuromod. They've only ever gone by their statistics.Any reasonable person would have to admit that at this point Lenire has failed to live up to the hype.
LOL. Is it really that hard to understand? The sample size so far is negligent. This is exactly why trials tend to be done on hundreds and thousands of people. Not 4. You can come up with all sorts of wild statistics with small sample sizes.You can spout all of the statistical jargon you want and it doesn't change that.
Again, depends. There hasn't actually been an argument given. Especially not by you.It's the kind of tactic that people resort to when they sense they're losing an argument.
I get the feeling no argument will ever be deemed good in your eyes.Is there a good argument to be had?
Rather than presuming what my reaction would be you could try actually make a case?I get the feeling no argument will ever be deemed good in your eyes.
Yes I know, I was giving an example of why the quoted logic was wrong.No, it's not. You forgot to add to that (2/3)x(1/3)x(2/3) + (1/3)x(2/3)x(2/3) which sums up to the right probability of around 44%. Sorry for being a nerd, just thought that false information should be corrected.
And since we are talking statistics, when do you @PeterPan think that we could have a first look on the first results of the Lenire User Experience survey?
Did I say we should write it off? You're strawmanning. I said the data is not encouraging, and objectively speaking, it's not. You can spin it anyway you like, but those are the facts.Rather than presuming what my reaction would be you could try actually make a case?
One good case for why we should write something off despite the minuscule sample size.
I'm all ears.
what sample size do we need to see in the User Experience thread before we can say the results are statistically valid?
Well, it's only 2/3 who have completed the 12 week treatment. We don't have 9 complete reviews by any means.I make it two better — RedKnight and drcross, both with fairly new tinnitus.
Three unsure — Big Nick, TinMan, jacob21
No improval, or no improval as yet — ruud1boy, Cojackb, Liz Windsor
One worse, probably due to Lenire — Allan1967.
I agree with those who say a sample size of 9 is rarely wildly unreflective of a bigger sample of 500 (though it's not impossible), i.e. if 2/3 of the 500 in the trial truly got better, it's odd only 2 of 9 have reported that here.
I was more uncertain a few weeks back when a few people thought they might have improvals they are now unsure about. But not everyone has completed their sessions.
So it's still uncertain but it's not looking good.
Peter Pan's more rigorous analysis of a larger number of Tinnitus Talk users should be much more telling though. I bet we get to hear about that before Neuromod's TENT-A1 trial comes out.
People sometimes don't realise how bad a proportion of the medical literature is. Even really commonly used products like antidepressants - the evidence supporting their use in mild or moderate depression, evidence for their effectiveness above placebo, is quite poor. This was in contrast to early papers on the subject. I still had a small amount of hope for this product though during the discussions early this year. They did a really big trial.
I'd still like to see the TENT-A1 results published.
I don't believe my logic was wrong. Please explain. According to Neuromod's statistics, 2 out of 3 should see clinically significant improvement and 1 out of 3 should not. So the probability that "three rolls of the dice" would all be non-responders I believe should be 1/3*1/3*1.3.Yes I know, I was giving an example of why the quoted logic was wrong.
I.e. how could the most likely outcome only be 14%.
Perhaps I wasn't clear enough / also couldn't be bothered to type out any more fractions on my phone!
Which haven't been published...and everything swings back towards the clinical trial results.
And that's why I quoted you because you tried to show that Watasha's logic was wrong by quoting a wrong number/calculation. The quoted logic is unfortunately right and 3 of course is no sample size, but 9 people is, albeit a tiny one. Either you take no improvement of 3 people, or only 2 out of nine, the success rate according to the experiences of Tinnitus Talk members at this point in time doesn't look good.Yes I know, I was giving an example of why the quoted logic was wrong.
I.e. how could the most likely outcome only be 14%.
Perhaps I wasn't clear enough / also couldn't be bothered to type out any more fractions on my phone!
My apologies, I misread and thought you were calculating 2 non responders and 1 responder i.e. 1/3*1/3*2/3.I don't believe my logic was wrong. Please explain. According to Neuromod's statistics, 2 out of 3 should see clinically significant improvement and 1 out of 3 should not. So the probability that "three rolls of the dice" would all be non-responders I believe should be 1/3*1/3*1.3.
@Demigod Thoughts?
No worries, thanks for being easy going and clarifying... that's rare these days.My apologies, I misread and thought you were calculating 2 non responders and 1 responder i.e. 1/3*1/3*2/3.
Fine if you didn't say it. But then to the data. The data isn't encouraging, in the same way that a failure in a sample size of 1 isn't encouraging either. But you can't use it to draw any conclusions.Did I say we should write it off? You're strawmanning. I said the data is not encouraging, and objectively speaking, it's not. You can spin it anyway you like, but those are the facts.
Don't assume on my behalf thanks. I said it in my previous post on this. If we get into the 30/40/50 patients and the majority are like @Cojackb and @ruud1boy then you won't find me leaping to Neuromod's defense.That's just it. Those crying out the most for a larger sample size will never feel it's large enough as long as the results aren't looking good.
You're playing Semitic games. The company has spent the past several years directly and indirectly attempting to generate excitement in their product in order to attract additional investors. That appears to be the one thing they've been very successful at. I'm starting to suspect that has been their primary focus all along and the effectiveness of the device is secondary to that.Depends on what the hype was and who was creating it.
It now seems likely that the device was underperforming in the trials. That would explain why they brought in Dr. Lim and offered him a financial stake in the company to help them "conclude" the trials. It's also worth noting that the release of the trial data has been pushed back another year.It wasn't Neuromod. They've only ever gone by their statistics.
I suspect that the "real world cases" are producing results similar to the results they were initially experiencing during the trials prior to bringing in Dr. Lim to bail them out. The lackluster testimonials are a strong indication of that.It is too early to tell whether the real world cases bear them out.
You're desperately clinging to the hope that invoking the term "statistics" and waving it around like a magic wand is going to overcome the reality of this situation. That in addition to your dismissive use of "LOL" is basically a tacit admission that you're on the losing end of this argument.LOL. Is it really that hard to understand? The sample size so far is negligent. This is exactly why trials tend to be done on hundreds and thousands of people. Not 4. You can come up with all sorts of wild statistics with small sample sizes.
There have been literally dozens.There hasn't actually been an argument given.
I suggest you go back and read this entire thread.Especially not by you.