Esther12
Senior Member
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Kind of amusing that NICE don't think PACE showed anything worthwhile.
I think PACE used the London criteria, but to be honest, it is so irrelevant I haven't bothered comparing it with the others, otherwise we will all be debating how many psychiatrists in the Wessley camp can dance on the head of a pin.
Fascinating. Someone gets a death threat, and suddenly their bullshit theories cannot be politely and scientifically disputed. I guess that explains his I'm-the-victim media campaign regarding such threats.But if anyone has wondered why Coyne has not been all over the PACE Trial like a seagull at a picnic (or garbage dump), besides the usual such as being too busy or simply just not being interested, here is another possible reason:
"I know Simon Wessely and know that he has had death threats over his interpretation of a trial of CBT chronic fatigue."
That's a good find. The other sentence regarding Wessely seems to indicate that he doesn't understand the issues.
"I know Simon Wessely and know that he has had death threats over his interpretation of a trial of CBT chronic fatigue. I do not think he wants to step back into the fray late judgments about a trial of CBT for unmedicated schizophrenics."
Coyne said:The Lancet article authors never specified that this was a simple effect size. Furthermore, it is not at all clear how the authors calculated this particularly because at the end of follow-up less than half of the patients remained in what was already a small sample to start. Assumptions of nonrandom loss to follow-up no longer apply and so this is a misleading and even bogus effect size. I will say more about that in future blogs.
(hacker) said:But the quotes suggest otherwise, and you know that’s true. You have shot out in ignorance and acted in a highly non-collegiate way. I suppose $500 is a lot of money. Perhaps you need to appoint someone else to judge whether you need to cough up? I suggest Simon Wessely. Why don’t you tweet him?
There is no evidence that even one person with myalgic encephalomyelitis has ever threatened a researcher. It is deliberately harmful propaganda being used to denigrate us. The only person ever convicted did not have M.E. or even chronic fatigue.
I am not sure who you are referring to, Coyne or Wessely?
quote]
Sorry, I meant Coyne doesn't seem to understand the issues.
The other sentence regarding Wessely seems to indicate that he doesn't understand the issues.
Sorry, I meant Coyne doesn't seem to understand the issues.
Option 3: They're just looking for yet another excuse to vilify anyone who disagrees with them. Despite Wessely's histronics, I don't think we've lost any useful researchers or clinicians due to purported abuse. Even Wessely keeps coming backIs it just that they see it as a vocation, whereas these folk just aren't that committed to their cause? Or is it simply that a larger salary reduces a person's dedication?
Despite Wessely's histronics, I don't think we've lost any useful researchers or clinicians due to purported abuse. Even Wessely keeps coming back
There is no evidence that even one person with myalgic encephalomyelitis has ever threatened a researcher. It is deliberately harmful propaganda being used to denigrate us. The only person ever convicted did not have M.E. or even chronic fatigue.
MEA chairman Neil Riley unpicks a central thread in the PACE Trial
http://forums.phoenixrising.me/inde...cks-a-central-thread-in-the-pace-trial.28552/
The pitfalls of pre-registration: The Morrison et al CBT paper
http://persuasivemark.blogspot.be/2014/03/the-pitfalls-of-pre-registration.html
A clinically useful difference between the means of
the primary outcomes was defined as 0·5 of the SD of
these measures at baseline,31
I can't remember has this been highlighted or not:
One of their references is:
Guyatt GH, Osaba D, Wu AW, et al. Methods to explain the clinical
significance of health status measures. Mayo Clinic Proceedings
2002; 77: 371–83.
Free at: http://www.mayoclinicproceedings.com/content/77/4/371.long
The proportion of patients achieving a particular benefit,
be it a small, moderate, or large difference, is therefore
much more relevant than a mean difference from the
clinician’s point of view and less likely to mislead. To
calculate the proportion who achieve a MID, one must
consider not only the difference between groups in those
who achieve that improvement but also the difference between
groups in those who deteriorate by the same amount. (we weren't given that proportion (i.e. those who got worse) in the paper when they told us how many went up by 8 points on the SF-36 PF and/or by two points on the Chalder fatigue scale)
One must therefore classify patients as improved, unchanged, or deteriorated. In a parallel group trial, the subsequent calculation is not altogether straightforward, and 1
approach involves assumptions about the joint distribution
of responses in the 2 groups.13 Statisticians are developing
alternative approaches to this problem, several of which are
likely to prove reasonable.58 What is not reasonable is
simply to present mean values without taking the second
step that is necessary for clinicians to interpret clinical trial
results effectively.
Distribution-based methods have, in general, 2 fundamental
limitations. First, estimates of variability will differ
from study to study. For instance, if one chooses the between-
patient standard deviation, one has to confront its
dependence on the heterogeneity of the population under
study. If a trial enrolls an extremely heterogeneous population,
an important effect may be small in terms of the
between-person standard deviation and thus judged trivial.
The same effect size, in a trial that enrolls an extremely
homogeneous population, may be large in terms of the
between-person standard deviation, and thus judged extremely
important. The true impact of the change remains
the same, but the interpretation differs radically.
There are at least 2 ways to deal with this problem. One
is to choose the variability from a particular population,
such as the standard deviation of a measure when applied to
the general population at a point in time, and always refer to that same measure of variability. The second is to choose
the standard error of measurement (which we will discuss
subsequently), which is theoretically sample independent.
[..]
BETWEEN-PERSON STANDARD DEVIATION UNITS
The most widely used distribution-based method to date is
the between-person standard deviation. The group from
which this is drawn is typically the control group of a
particular study at baseline or the pooled standard deviation
of the treatment and control groups at baseline. As we have
mentioned herein, an alternative is to choose the standard
deviation for a sample of the general population or some
particular population of special interest, rather than the
population of the particular treatment study under consideration.
An advantage of this approach is that it has been
applied widely in areas of investigation other than QOL.
In case people forget, they chose the baseline standard deviations rather than population standard deviations.
We used continuous scores for primary outcomes to
allow a more straightforward interpretation of the individual
outcomes, instead of the originally planned
composite measures (50% change or meeting a
threshold score).10,30 We prorated primary outcomes
scales only when there were at most two items per scale
missing (nine participants for Chalder fatigue questionnaire
and 11 for short form-36). Prorating involved
calculating the mean value of the item scores present
and replacing the missing values with that score.
We summarised continuous variables with mean (SD)
or median (IQR) and categorical variables with
frequencies and proportions. Diff erentiation of
treatment compared independent ratings of therapy
sessions with actual treat ment. We calculated the interrater
reliability (κ and 95% CI) between the two
assessors. We used Kruskal-Wallis tests for comparisons
of therapy received, therapeutic alliance, and manual
adherence. We compared categorical variables with
Fisher’s exact test.