Keynote 2 –
Dr Ben Goldacre – Author of Bad Science and Bad Pharma
1. Big data (Dr Ben’s term not mine) is
used to avoid falling victim to noise
Probability
and distribution is vital when working average
Funnel
plots are useful to demonstrate this pattern
“Everyone
likes to think they are ‘just above’ but only half of us can be above the
median”
Systematic
Reviews (Meta-Analysis) are the best tests (next is randomised control trials) that
you can run all the way through to ‘Ideas, Opinions and Editorials’
-
Science
is built on test rather than authority as it should be about clarity and
evidence rather than thought
-
PHDs
can be bought – Ben did for his dead cat!
Scientific
studies get blown out of proportion – findings are often laboratory based and
can’t be related to human-world reality
Correlation
and Causation – normally at the heart of the issues of bogus claims
Running
true Randomised Trials is difficult to close off any other factors
-
“People
take a really long time to die and that’s really annoying for medical research”
-
Can’t
gloss over the issues of your data set – you have to highlight
Randomised
control trial example
-
200
people with headaches
-
Randomly
split them in to 2
-
Half
get the new pill, half get the old pill
o
Get
scores to the changes
Mapping
Drug Prescription variance across the UK is very different. In one of the most
advanced countries where medical treatment is near at hand, there should be
little variation as the decisions should be based on data and not opinion of
medical administrators.
The same
information about small chances to improved survival rates are inferred
differently by different people
-
Chemotherapy
usage to increase life expectancy a little or prolong life further for example
Dr Ben
argues for providing patients with evidence and information to allow the
patient to make logical choices
-
Doctors
are given targets that are driving their behaviour that are directly effecting
their patients
Should be
monitoring the impact of drug assignment on the public by just collecting data
about the outcome that just doesn’t get monitored.
Need better
data; need better data hygiene to make truly informed decisions and resolve
uncertainty
-
There
is no urgency to fix this issue as doctors have to learn to ignore the human
side
-
The
lack of empathy is what is causing the impotence of the decision
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