Rank: Advanced Member Groups: Member
Joined: 8/2/2011 Posts: 147 Location: United States
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ROb, thanks for the clarification. I hope that all researchers share your sentiments. I am not holding my breath on that.
I will continue to wonder why there is so much time involved in getting the data analyzed (statistics aren't done on an abacus any more) and how long it takes to analyze these results. For example, my wife (MS in statistics) was asked to check the statistical relationship between the incidence of leukemia and high voltage power poles (this was big in the late 90s). The document was lengthy and impressive. It took her about 30 seconds. She looked at a couple of the values and said, "It's garbage. There is no statistical relationship." But what about all these graphs and thick prose? "Don't matter. The results speak for themselves."
She wrote a three sentence report that was accepted by her superiors.
So I always wonder why it takes so damn long to gather the data, do the analysis, write the report, and have the report checked so we can proceed to the next step, along with full transparency of the data and the conclusions. The FDA and researchers pontificate on how careful they want to be, but in reality the efficacy of a treatment is apparent to statisticians in a matter of minutes. Not months or years. Minutes.
And why would the FDA take so damn long to decide what to do next? How many meetings, seminars, and discussions are actually required?
The writing of the paper might take a month or so, I will concede. I have 15 years experience as a technical writer for highly detailed documents, and know that every comma and period is double-checked. But you get someone to validate the data, another dealing with the stat package, and another putting it all together.
So in the clinical trial process, where is the delay point, and why is it there?
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