1 - For more complicated propositions, who does the math and statistics? The application apparently gathers the data, but it is still subject to interpretation.
This problem can be reduced in size by having the webapp give out blinded data, and only reveal group names after the analysis has been publicly committed to. If participating companies are unhappy with the existing modules, they could perhaps hire “statistical consultants” to add a module, permanently improving the site for everyone.
I think I get your meaning. You mean that the webapp itself would carry out the testing protocol. I was thinking that it would be designed by the sponsor using standardized components. I think what you are saying is that it would be more rigid than that. This would allow much more certainty in the meaning of the result. Your example of “using X resulted in average weight loss of Y compared to a control group” would be a case that could be standardized, where “average weight loss” is a configurable data element.
Yes. I think if we can manage it, requiring data-analysis to be pre-declared is just better. I don’t think science as a whole can do this, because not all data is as cheap to produce as product testing data.
Now that I’ve heard your reply to question #8, I need to consider this again. Perhaps we could have some basic claims done by software, while allowing for additional claims such as “those over 50 show twice the results” to be verified by grad students. I will think about this.
This problem can be reduced in size by having the webapp give out blinded data, and only reveal group names after the analysis has been publicly committed to. If participating companies are unhappy with the existing modules, they could perhaps hire “statistical consultants” to add a module, permanently improving the site for everyone.
This could be related to your #8 as well :)
I think I get your meaning. You mean that the webapp itself would carry out the testing protocol. I was thinking that it would be designed by the sponsor using standardized components. I think what you are saying is that it would be more rigid than that. This would allow much more certainty in the meaning of the result. Your example of “using X resulted in average weight loss of Y compared to a control group” would be a case that could be standardized, where “average weight loss” is a configurable data element.
Max L.
Yes. I think if we can manage it, requiring data-analysis to be pre-declared is just better. I don’t think science as a whole can do this, because not all data is as cheap to produce as product testing data.
Now that I’ve heard your reply to question #8, I need to consider this again. Perhaps we could have some basic claims done by software, while allowing for additional claims such as “those over 50 show twice the results” to be verified by grad students. I will think about this.