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Studies using secondary data (n = 9) generally used published data from other studies and generated results using decision tree analysis or other basic modelling techniques such as applying a published mortality rate to the study population.
The meta-analysis of the factor analysis integrated the data from the 39 individual studies and generated the evidence-based results of the review.
We first conducted epistatic studies and generated double mutants of interest, including gpb1ssn8, ste20ssn8, cpk1ssn8 and ste12ssn8.
CLM performed the gene delivery studies and generated and analyzed the data from these experiments.
DRC performed array profiling studies and generated the heatmap in Figure 1.
Most observations were repeated in several studies and generated new deductions, which were tested in all the available data sets.
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We utilise slip models from different inversion studies and generate stochastic slip realisations for specific inverted models.
This study builds on previous studies and generates evidence that contributes to qualification of BSI as an imaging biomarker in prostate cancer patients.
SB carried out the morphological studies and generates the 3D reconstruction.
Spatial epidemiology of population-based case-control studies addresses many methodological criticisms of cluster studies and generates new exposure hypotheses.
The first step, implemented in RAREMETALWORKER (RMW), analyzes individual studies and generates summary statistics that can later be combined across studies.
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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