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Text of the page (random words):
14 bant 2 big pharma 37 blue monday 4 book 9 book reviews 3 brain gym 11 brainiac 6 bullying 3 cash for stories 16 celebs 13 childishness 1 chocolate 6 churnalism 8 climate change 6 competing interests 6 conflict of interest 3 cosmetics 13 craig sams 2 crime 2 dangers 27 danie krugel 1 data 2 death 6 denialism 1 detox 7 dna 8 dodgy academic press releases 3 doing nothing 1 dore 4 drurrrgs 12 duplicate publication 1 economics 3 electrosensitivity 20 epidemiology 2 equazen 13 eshlsg 1 evidence 20 evidence based policy 15 evolutionary psychology 4 express 1 fish oil 20 fraud 1 fuel pr 1 geek 1 genetic nonsense 1 ghostwriters 3 gillian mckeith 25 global radio 2 gm 2 government reports 4 great popularisers of science 2 guest writers 1 hate mail 9 heroes 6 heroes of bad science 6 hi fi 2 hiding data 4 history of quackery 2 id 1 interviews 1 ions 5 irrationality research 14 ityfiabmctt 1 jeni barnett 3 jonathan leake 1 journal club 14 just a blog 2 laws 2 lbc 3 legal chill 15 letters 18 libel 14 lucy johnston 2 lucy johnston express 3 magnets 20 manufacturing doubt 1 matthias rath 9 media 162 bbc 35 channel 4 11 channel five 4 evening standard 4 express 20 guardian 3 independent 21 itv 6 mail 45 mirror 15 news of the world 1 sun 6 telegraph 30 times 36 media research 2 medicalisation 14 methods 3 miniblog 1 miracles 2 mmr 44 models 1 mondo academico 3 mrsa 6 nanniebots 3 neuro nonsense 2 neurostuff 3 new scientist 4 not bad science 9 numerical context 11 onanism 60 open methods 1 organic 1 oxygen 9 patents 2 patrick holford 14 penises 6 perpetual motion 4 phds doctors and qualifications 34 phone stalking 4 placebo 22 podcast 18 politics 31 postmodernist bollocks 6 powerwatch alasdair philips 9 pr guff 5 predictions 1 presenting numbers 3 procrastination 1 pseudodiagnoses 1 psychic nonsense 1 psychology of woo 2 publication bias 22 qlink 1 quantum physics 12 rape 1 references 59 regulating media 2 regulating nonsense 6 regulating research 34 religion 26 retractions 1 revenge 1 risk 1 roger coghill 2 roland kapferer 2 roundup 1 scare stories 52 schools 7 science comms 2 scienciness 1 screening 2 secret data 3 show your working 1 small blogs 1 smears 1 space 4 spin 2 statistics 82 stephen whitehead 1 stifling criticism 10 structured data 6 subgroup analysis 3 suicide 2 surveillance 1 survey data 5 susan greenfield 1 systematic reviews 10 tamiflu 1 teaching resources 2 tobacco 1 toys 1 trial registers 6 uncertainty 4 utter nonsense 3 vaccines 2 very basic science 52 video 3 water 18 weight loss 10 whistleblowers 1 evidence to house of commons sci tech select committee on research integrity december 5th 2017 by ben goldacre in alltrials campaign publication bias no comments sorry not to be in regular blogging mode at the moment here s a video of our evidence session to parliament where they are running an inquiry into research integrity i think clinical trials are the best possible way to approach this issue lots of things in research integrity are hard to capture in hard logical rules so you end up with waffly concordats and rules that are applied inconsistently with clinical trials you can make clear rules you can measure compliance and you can enforce compliance there is lots of chat about this in the video below from 17 37 with me simon read the rest of this entry how do the world s biggest drug companies compare in their transparency commitments july 27th 2017 by ben goldacre in bad science no comments here s a paper and associated website that we launch today we have assessed and then ranked all the biggest drug companies in the world to compare their public commitments on trials transparency regular readers will be familiar with this ongoing battle in medicine we use the results of clinical trials to make informed treatments about which treatments work best but the results of clinical trials are being routinely and legally withheld from doctors researchers and patients this is a problem for industry sponsored trials and for trials funded by governments and charities so what did we find the results on the individual companies are important but we also came across some fascinating patterns while companies superficially have commitments to register and report clinical trials in reality there are often huge gaps in their policies with many failing to include past trials trials on the medicines we use today and trials on off label uses or unlicensed medicines which are both important we also found a huge range of commitments which is exactly what audits are good for identify who s doing well and who s doing badly so that everyone can learn from the best players lastly as we went along we collected some fascinating examples of problematic policies ambiguous language inconsistent commitments odd exclusions and so on overall this audit was a huge project and we hope it will be widely used you can see which companies are the best and the worst if you re a researcher trying to get information on a trial from a company you can use this to determine whether a company are breaching their commitments if you re an ethical investor at the alltrials campaign we have a network of dozens covering 3 5t trillion of investments you can use this to guide your activist investment choices the full methods and results can be read for free in the paper but we ve also built a nice interactive website with mysociety coming soon to make the data more accessible we think this is an important aspect of communicating results and making them useful and used and we re keen for feedback on the site coming next we have ranked the policies of non industry trial funders and that paper will land shortly we also have some great new and improved projects launching soon where we track the performance of institutions rather than their promises the proportion of their completed trials for which they have shared results meanwhile you can read more about the battle for unreported clinical trials at alltrials net onward meaningful transparency commitments the who joint statement from trial funders july 26th 2017 by ben goldacre in bad science publication bias no comments by now i hope you all know about the ongoing global scandal of clinical trial results being left unpublished and of course our alltrials campaign doctors researchers and patients cannot make truly informed choices about which treatments work best if they don t have access to all the trial results earlier this year i helped out with a world health organisation project to get non industry clinical trial funders signed up to making better policies on transparency this bmj editorial sorry i m late posting it published last month describes the new commitments and why this commitment is more convincing than previous vaguer statements read the rest of this entry how many epidemiologists does it take to change a lightbulb february 1st 2017 by ben goldacre in bad science no comments robin ince just asked if i know any epidemiologist lightbulb jokes i wrote this for him how many epidemiologists does it take to change a lightbulb we ve found 12 000 switches hidden around the house some of them turn this lightbulb on some of them don t some of them only work sometimes and some of them work sometimes but twenty years after you flick them some of the switches only work sometimes twenty years later if one of the other switches is flicked too and at the right time in any case the wiring s rusty everything s completely different in the house next door and by the way there are lots of people selling spare bulbs who tell lies about houses switches and fingers we can change the lightbulb but i m not sure that ll stop you dying from cancer in this metaphor transparency beyond publication bias a video of my super speedy talk at ije october 11th 2016 by ben goldacre in bad science no comments people often talk about trials transparency as if this means all trials must be published in an academic journal in reality true transparency goes much further than this we need clinical study reports and individual patient data of course but we also need the consent forms so we can see what patients were told we need the analytic code so we can see exactly how the data were analysed we need access to post publication peer review so we can see what design flaws others have identified and we don t just need these things to be publicly available in some form or another we ideally need them to be available as open data freely shareable and re usable which is a very different kettle of ballpark and then of course we need this data to be used which means we need to think about building tools that make it useful finally we can t just whine about the world not being as we would wish it to be or write academic papers describing the problem we need a practical theory of change and a set of clear strategies that will deliver greater transparency this is my talk at the international journal of epidemiology conference 2016 it takes 29 minutes of your life at speed i hope you find it useful www youtube com watch v xqj7qmtskme you should totally watch this entire day of the ije conference october 7th 2016 by ben goldacre in bad science no comments today marks the end of an era the international journal of epidemiology used to be a typical hotchpotch of isolated papers on worthy subjects occasionally some were interesting or related to your field under shah ebrahim and george davey smith it became like nothing else an epidemiology journal you d happily subscribe to with your own money and read in the bath read the rest of this entry an audio interview with the conversation on smashing the walls of the ivory tower october 3rd 2016 by ben goldacre in bad science no comments the conversation is a great media outlet because it s run by academic nerds but made for everyone i had a nice time chatting with them last week we discussed transparency data sharing statins research integrity risk communication culture shift academic activism and why we should kick through the walls of the ivory tower caution contains nerds theconversation com speaking with bad pharma author ben goldacre about how bad research hurts us all 65800 sarepta eteplirsen anecdote data surrogate outcomes and the fda september 30th 2016 by ben goldacre in bad science 5 comments the duchenne s treatment made by sarepta eteplirsen has been in the news this week as a troubling example of the fda lowering its bar for approval of new medicines the fda expert advisory panel decided not to approve this treatment because the evidence for any benefit is weak but there was extensive lobbying from well organised patients and eventually the fda overturned the opinion of its own panel there have been calls for paper retractions and so on this is not the first time we ve seen peculiar activity around the treatment read the rest of this entry the cancer drugs fund is producing dangerous bad data randomise everyone everywhere september 28th 2016 by ben goldacre in bad science 6 comments there are recurring howls in my work one of them is this in general if you don t know which intervention works best then you should randomise everyone everywhere this is for good reason uncertainty costs lives through sub optimal treatment wherever randomised trials are the right approach you should embed them in routine clinical care this is an argument i ve made with colleagues in endless different places new diabetes drugs are approved with woeful data small numbers of patients in trials that only measure blood tests rather than real world outcomes such as heart attack renal failure or death so let s roll out new diabetes treatments in the nhs through randomised trials we rely on observational studies to establish whether tamiflu reduces complications of pneumonia that s silly we can do trials and we should statin treatment regimes in widespread use have never been compared head to head using real world outcomes such as heart attack stroke and death so let s embed randomised trials as cheaply as possible in routine clinical care we ve done two pilots to document the barriers this week a dozen colleagues and i published yet another application of this basic simple principle as an editorial in the bmj the cancer drugs fund is being marketed as a way to generate new knowledge but in reality the data that will be collected is weak read the rest of this entry taking transparency beyond results ethics committees must work in the open september 23rd 2016 by ben goldacre in bad science 2 comments here s a useful paper we ve just published in the bmj documenting problems in transparency around approval processes for randomised trials there s a basic rule in clinical research you re only supposed to do a trial comparing two treatments when you really don t know which one is best otherwise you d be knowingly randomising half your participants to an inferior treatment despite this it s already known that trials are sometimes conducted where one group get a substandard treatment we wanted to find out how ethics committees come to approve such trials read the rest of this entry older entries stuff where did you go my inaugural professorial lecture at oxford about dr ben goldacre and upcoming public talks book me to speak twitter books bad pharma bad science what you can find here audio and video the bad science shop i love them archives december 2017 july 2017 february 2017 october 2016 september 2016 march 2016 august 2015 july 2015 june 2015 april 2015 february 2015 december 2014 november 2014 october 2014 july 2014 june 2014 march 2014 january 2014 december 2013 october 2013 july 2013 june 2013 may 2013 april 2013 march 2013 february 2013 january 2013 december 2012 october 2012 september 2012 june 2012 april 2012 march 2012 december 2011 november 2011 october 2011 september 2011 august 2011 july 2011 june 2011 may 2011 april 2011 march 2011 february 2011 january 2011 december 2010 november 2010 october 2010 september 2010 august 2010 july 2010 june 2010 may 2010 april 2010 march 2010 february 2010 january 2010 december 2009 november 2009 october 2009 september 2009 august 2009 july 2009 june 2009 may 2009 april 2009 march 2009 february 2009 january 2009 december 2008 november 2008 october 2008 september 2008 august 2008 july 2008 june 2008 may 2008 april 2008 march 2008 february 2008 january 2008 december 2007 november 2007 october 2007 september 2007 august 2007 july 2007 june 2007 may 2007 april 2007 march 2007 february 2007 january 2007 december 2006 november 2006 october 2006 september 2006 august 2006 july 2006 june 2006 may 2006 april 2006 march 2006 february 2006 january 2006 december 2005 november 2005 october 2005 september 2005 august 2005 july 2005 june 2005 may 2005 april 2005 march 2005 february 2005 january 2005 december 2004 november 2004 october 2004 september 2004 august 2004 july 2004 june 2004 may 2004 april 2004 march 2004 february 2004 january 2004 december 2003 november 2003 october 2003 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