Hi Linda!
No, i dont think you are ignorant to the ressearch here, but i do question your interpretation of the research.
Many of us here, have had academic training, including a large amount of courses on statistics and how to perform research.
While I don't want to make an argument from authority, I do want to know what specifically you question about her interpretation.
No, they just observe two main variables, one beeing an objective measure, amount of airflow, which is (very) highly significant - unusual in such small samples - the other one a subjective, which was not significant.
Have you actually read what they have done?
They have looked at much much more than the two main variable they later selected to write the article about.
Given how your assumption of what they have done is wrong, I can understand your criticism of Linda's analysis, but can we please go back to the actual research and not your interpretation of it.
What they have done is equivalent to taking a random letter and than looking for statistic significance. (For brievety let's assume they pulled a 'c')
Hmmm:
pulling an 'a': 3,6% chance 0% occurance, not significant
pulling an 'b': 3,6% chance 0% occurance, not significant
pulling an 'c': 3,6% chance 100% occurance, very significant!!
This not only shows the error in the methology this also shows why your remark of: "highly significant - unusual in such small samples -" is exactly the wrong way around, using this method it's usual to find false highly significants, ESPECIALLY in small samples.
This is exactly why we in this forum, and serious medical researchers with us, frown on this methology.
I can not see any flaw here, because indeed,one of the main feats of hayfever is that you dont get enough air because everything is swollen due to the allergic reaction, so this seems reasonable to me, as a lay person.
We would all agree if the research would have had the "increased flow of air is the method by which this (homeopathic) medicine eases the hayfever symptons" as an a priori proposition in the research.
The research as it stands is only usable as a starting point for a completely new setup which actually specifically tests this flow of air.
There is also no problem with more than one variable that defines any given construct (in this case the implicit construct of 'getting better'). The problem is more that they dont define their model very well.
There is indeed no problem with more than one variable, there is however a problem with declaring individual variable as relevant AFTER the results are in.
In Linda's words: Gathering data on all variables is shooting the side of the barn, with enough variables you are garantueed that at least one of them shows a significant difference between the two groups. Choosing to only look at the ones that have that difference is drawing the target around a bullethole.
Also, they dont tell how much better this betterment is and that they do not control for other factors or check for interactions between the two dependent variables that they are using. (apparently, they are only using simple t-tests. I would have done a anova)
Also, certain statistical methods are indeed setup to test for many factors, for example in multi-factorial analysis, but they didnt do that here.
What you seem to think are plus sides to the research, not looking at dependancies etc, are actual weaknesses.
So this study is rather crude but alas, its not a full article, but only a small editorial.
Rather crude is a nice way to describe it.
Conclusion: The outcomes are supported by the evidence. Clearly, a main symptom of hayfever, reduced airflow due to allergic reaction was significantly reduced in the verum group.
But this is also totally irrelevant, because that's not what they were specifically testing, so if they were honest researcher they would not have drawn a conclusion like this.
I assume with evidence you mean data, but that's okay.
No researcher is bad enough that post priori outcomes are not supported by the data. So that fact that the data matches something they mined out of the data proves exactly ... nothing.
Well in the text, they had one center where people did worse, but overall, there was a significant difference in airflow. I cannot see manipulation here.
The manipulation is that it's the best known manipulatory way to double your chances of 'hitting significance'.
Also by counting both up and down as results you measure the significance of seeing an effect, which they than represent as the significance of the chance to see improvement.
They are basically doing something that ALWAYS, if done properly lowers the significance, and apply it in such a way that it heightens significance.
They are not the first, nor the last, but at least this is a wel known method of fraud, that most serious researcher will not be fooled by.
Hm, yes but statistics are as good as it gets. Of course, its significance is always questionable, but thats true for all studys using these methods.
That's the main point you seem to miss. If conducted well, significance is NEVER questionable.
When it is, the research is suspect.
Also, you take as a fact that the the bulk of homeopathic research is too poor to draw any conclusions - well, i dont know, but i will investigate it further, to see if this opinion is justified.
When it comes to this, I'm going to trust Linda's and Rolfe's and opinion as I know they have read many times the number of studies I have.
But not just because of that, but also because to me, personally, they have shown to posses the necessary abilities to make that judgement.
You probably haven't read as many of their posts as I have, so you not taking their word for it is smart.
Yes, thats what effectiveness studys are for, to see if a certain method/compound has a positive effect in a certain situation (in this case,hayfever.)
We agree here.
And I'm not even saying that the research itself was conducted poorly, but the post-priori statistical fraudulence doesn't really strengthen my confidence that they've conducted even that honestly.
Me neither. But again, i happen to use homeapthy for those every-day ailements, and most of the time it works for me. Only placebo effect? Well then, but it seems to be a good one, with no side effects whats or ever. And if it doesnt work,ok, i just take antibiotics or other suitable pharmceuticals. easy!
Well that's one thing we all agree on here, no side effects whatsoever.
Does that never make you wonder though?
What can I say, my wife take homeopathic drops against common cold and is usually better in seven days, where I refuse to take them and require a full week to get better.
Cheers,
Edwin.