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At the same time, America's venerated national laboratories are coming under partial industry control.Some in industry regret the melding of R&D into one activity and the demise of the big corporate laboratory.
If that's the case, then perhaps we finally have a case where partial industry regulation actually works over the long term, unlike telecom, healthcare, airlines or banking.
Both the New England and mid-Atlantic councils approved plans in 2012 requiring 100percentt observer coverage with partial industry funding.
If we removed partial industry from funding source, applying a logistic regression model to compare non-industry and industry, the odds ratio was 242 (95% CI: 89 655).
When we divided funding source into three groups (non-industry, partial industry, and industry) and applied logistic regression models, the odds ratio for non-industry vs. industry was 6.0 (95% CI: 4.6 7.9), and the odds ratio for partial-industry vs. industry was 15.1 (95% CI: 9.1 25.1).
Non-industry and partial industry funded trials were significantly more likely to identify the individual responsible for scientific leadership (OR = 259, 95% CI: 95 701) and to provide a contact e-mail address (OR = 9.6, 95% CI: 6.6 14) than were solely industry funded trials.
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All 95 partial-industry funded trials reporting recruiting status provided information on scientific leadership.
Of 95 partial-industry funded trials reporting recruiting status, 69 (73%) provided e-mail contact information.
We classified entries as having non-industry funding, industry funding, or partial-industry funding.
In examining the relationship between register and provision of scientific leadership information, since 100% of partial-industry funded studies provided names, the maximum likelihood estimate is not possible for partial-industry vs. industry.
Partial-industry funded trials were defined as those entries listing both an industry funding source and a non-industry source.
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