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Open image in new window Fig. 10 Sigsbee 2A model and data: True interval velocity model (a) and a CMP gather (b).
If we look at the experimental data (true stress vs true strain in Fig. 6) we can see there is strain hardening and there is significant recovery of hardening in the next stage due to climb assisted deformation with possible other softening effects.
Like the simulation data, true positives and true negatives were known for this data set.
For GWAS analysis using real data, true statistical power is not observable but MLT is expected to have more significant results than SLT.
In the case of real data, true values of the parameters are not known.
Note that in the analysis of real (i.e. non-simulated) data, true parameter values are unknown and therefore must be estimated.
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The synthetic DNA sequence data provide true positive and true negative positions as well as define minor allele fractions.
The materials and data are true and reliable in this paper.
"If our data are true then about a million people a year die just because they are infected with toxoplasma," Flegr says.
Would this data hold true across other commenting systems?
But, what about leveraging data for true discovery?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com