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Second, they use data not just as a way to target a message, but as a way to create a useful service.
Bottom line: Use data, not rumors to sell a business.
Models that use data not easily available a few months before planting (e.g., rainfall) were considered only if the predictive power remained too low otherwise.
We assessed the presence of interaction between diabetes and antibiotic use on the community-scale using nMDS and MRPP, which revealed a significant interaction between diabetes and antibiotic use (data not shown).
We found no difference in clinical symptoms at the time of hospital admission among children aged <5 years with either RSV-HRV co-detection, RSV only, or HRV only detection, including frequency of fever, tachypnea, abnormal breath sounds and cough, and no differences in the proportion of children receiving mechanical ventilation or supplemental oxygen <span class="lh">use (data not shown).
We found no evidence of statistical interaction between PM2.5 and antihypertensive medication use (data not shown).
Associations with cumulative use were similar in models not including recent use (data not shown).
Results were similar when not correcting for medication use (data not shown).
All primers were confirmed for specificity via cloning and sequencing prior to use (data not shown).
Chlorpryfos air levels were not associated with self-reported pesticide use (data not shown).
Cancer during look back was not significantly associated with combination insulin use (data not shown).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com