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Hans
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You have a right to your own opinion, but not to your own facts. |
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quote: "Ahh, but I quite agree. I think it should be piece of cake. But... then why hasn't it been done?"
duh - do we really need to start all over again, with this discussion of the most obvious flaws in the bell research? anyway, what i said was that i thought it should be easy ... if ... it was done right. which is what we've been talking about, remember? and that's assuming the dbpc really can do it, which ain't necessarily so. it's failed every attempt its made so far to measure established facts of clinical practice, i see no reason to really expect you guys to do better just because i've pointed the way ... to be sure, with your excellent assistance. you know, i have faith in you guys: if there's a wrong turn in the path, you'll take it, and if there's a wrong definition of a term, you'll subscribe to it. aaanyway, "The harvesters, who know that they partake in an experiment, evaluate all test subjects in the same way, not knowing which group the belong to." ok, very interesting - but it's still not the same as doing an actual evaluation in a real proving, in which they do know what they are dealing with, namely, real people taking a real remedy. i'm unsure of the impact on the results of knowing that they may be interpreting a masquarade. once again, superficially i'd expect impact to be trivial ... but ...?
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"The need to perform adjustments for covariates...weakens the findings." BMJ Clinical Evidence: Mental Health, (No. 11), p. 95.... It's that simple, guys: bad numbers make bad science. |
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Hans
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even if the investigators do know the remedy was real, though, they also know that they are interpreting for a trial, in other words they are being watched: and we all know how being watched can make one self-conscious, interfere with normal levels of performance. so either way, there is a confounder at work that specifically affects verum results. my hunch, and obviously that's all it is, is that there will therefore be an interference with investigator judgment, in fact, that this is unavoidable in principle. but my hunch is also that the interference will be slight, probably very slight. regardless, it is important to identify all features of a situation, or as many as possible, and to analyze (clinically and/or statistically) effects after the fact. ignoring any detail is simply sloppy practice.... with regard to the current discussion, i'd willingly agree to even ignore this 'confounder,' assuming its presence will be insignificant. a negative result to the trial, however, might make me reconsider. after all, as i've stated, i consider it to be a failure of statistical method, to have so far failed to confirm well established facts of clinical practice. if your methods fail again, even with a trial that seems on the surface to meet all of my objections, then we must imho investigate further, to determine what we've overlooked, in evaluating suitability of dbpc, for example, or the specific protocol that's been implemented.
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"The need to perform adjustments for covariates...weakens the findings." BMJ Clinical Evidence: Mental Health, (No. 11), p. 95.... It's that simple, guys: bad numbers make bad science. |
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in terms that if we are supposed to be testing things that are going on in the real world, then we ought to be testing ... well, the actual things that are actually going on in the real world ... aaand, in the real world, investigators know their subjects have taken a real remedy. if that is not the case in the trial, then the trial is not duplicating the real situation.
Uhhh, isn't that the same as saying that testing cannot be done? OK, you later say you assume the difference will be small, but then what is the problem? The purpose is to compare verum and placebo, so even if the evaluation may differ somewhat from normal, there ought to be a distinctive difference betwen the groups. so either way, there is a confounder at work that specifically affects verum results. Why do you feel it affects verum more that placebo? I mean why do YOU think so? After all you expect that the verum has a real-world effect. I, of course expect it to affect the verum, becaue I don't expect that the verum effect is in the interpretation. But the very point of it all is that it won't matter what we expect. The real-world effects are what matters for the result. *snip* a negative result to the trial, however, might make me reconsider. after all, as i've stated, i consider it to be a failure of statistical method, to have so far failed to confirm well established facts of clinical practice. Are you saying here that you will attribute a negative result to the test method, no matter how careful the test is designed? If that is the case, then there is no reason to conduct tests, as far as you are concerned. if your methods fail again, even with a trial that seems on the surface to meet all of my objections, then we must imho investigate further, to determine what we've overlooked, in evaluating suitability of dbpc, for example, or the specific protocol that's been implemented. Or, we could conclude that the remedy had no effect different from placebo. Hans
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You have a right to your own opinion, but not to your own facts. |
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"The need to perform adjustments for covariates...weakens the findings." BMJ Clinical Evidence: Mental Health, (No. 11), p. 95.... It's that simple, guys: bad numbers make bad science. |
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*Snipping extensively*
but things don't always work out as i expect. I know that feeling .so either way, there is a confounder at work that specifically affects verum results. *snip* i would expect mistakes to affect outcome in favor of placebo for two reasons, assuming (my opinion, after all) that verum does have a real effect: 1) a mistaken interpretation of a placebo response adds to the symptom count harvested from the placebo group; 2) a mistaken interpretation of a verum response subtracts from the symptom count harvested from the verum group. I would expect that there would be both false positives and false negatives in both groups. Ideally they should cancel out. i really would not expect the effect of this to be significant, but a couple of things make me reserve judgement: first, i've been wrong before; second, i'm tempted to say that i'd expect at least a limited number of such errors to occur; third, i am exhaustively familiar with the way in which behavior can be affected by circumstance, such as a harvester feeling he is being watched, or being distracted by uncertainty of what he is interpreting; fourth, i just don't know how sensitive the dbpc is to this particular confounder, or to any other. it may be that it is more sensitive than i would assume. Yes, the experimental setting will influence the outcome, no doubt about that. It is a basic law of physics that you cannot measure anything without influencing it, but the purpose of the dbpc preocedure is exactly to minimize such effects by balancing them out. As for sensitivity, well that is mainly a question of group sizes. The bigger the groups, the better the sensitivity. Are you saying here that you will attribute a negative result to the test method, no matter how careful the test is designed? yes, but please note: i simply do not have the faith in statistical measures that you have, specifically in measuring dynamic processes. You know, counting symptoms is hardly advanced math. The only point where slightly involved statistic calculation comes into this is when it is figued out how significant the result is, in other words, how likely it is to be due to chance. All the rest is primary school math. note also that, to test homeopathy, you have to test it according to it's own paradigm, otherwise you are not testing homeopathy. But surely it is not incompatible with the homeopathic paradigm to assume that the verum group will react differently from the placebo group? if your methods fail again, even with a trial that seems on the surface to meet all of my objections, then we must imho investigate further, to determine what we've overlooked, in evaluating suitability of dbpc, for example, or the specific protocol that's been implemented. Or, we could conclude that the remedy had no effect different from placebo. yes, of course we could. off hand, however, i suspect that you are more inclined to reach that conclusion than i am. Well, of course. For me it would just be a confirmation. That's life. Note however, that my position is not that homeopathy does not work, only that the remedies don't work. Hans
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You have a right to your own opinion, but not to your own facts. |
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Quote:
__________________
"The need to perform adjustments for covariates...weakens the findings." BMJ Clinical Evidence: Mental Health, (No. 11), p. 95.... It's that simple, guys: bad numbers make bad science. |
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Hans
__________________
You have a right to your own opinion, but not to your own facts. |
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quote: "I trust, however, that I am free to state my present working assumption, just like you state yours, OK? absolutely. It has nothing to do with definition of terms." of course it does. "homeopathy" is healing through the instrumentation of potentized remedies. the statement you made, to which i object, was that your "...position is not that homeopathy does not work, only that the remedies don't work." well, that's a contradiction in terms. your working assumption, if i might rephrase it for grammatical precision, is that "homeopathy does not work, because it's remedies don't work." ipso facto. in the nature of things.
add: i stand by my suggestion for your use of the term "homeopathic placebo therapy."
__________________
"The need to perform adjustments for covariates...weakens the findings." BMJ Clinical Evidence: Mental Health, (No. 11), p. 95.... It's that simple, guys: bad numbers make bad science. |
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