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This analysis led to estimation of an adjusted RR for each explanatory variable of interest.
This could have led to estimation of a smaller sample size.
Where simultaneous inclusion of dependent variables led to estimation problems (collinearity issues), the variable that explained more of the variability present in the endpoint was finally used.
Measurement of the number of synonymous substitutions between homoeologous genes led to estimation of a 4.2 million year divergence time between the two sub-genomes.
The combination of expression profiling and genotyping from microarrays has led to estimation of correlations between genetic variants such as Single Nucleotide Polymorphisms (SNPs) and RNA transcript expression levels [ 1- 3].
Considering Algorithm B led to estimation of the computational complexities based on the expected number of floating-point multiplications involved in the different tasks achieved by Algorithm B, as specified in Table 7.
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What's more, the estimation of a hundred-plus features quickly leads to "estimation fatigue".
The new modeling approach leads to estimation of a range of scaling-model parameters consistent with the experimental data.
In the case of the GMM method, the main drawback stems from its two-step strategy and detecting and handling weak instruments which might lead to estimation bias.
These modeling errors will likely lead to estimation errors of the parameters.
In this study, some other important variables were missing such as income, education, etc., which lead to estimation bias.
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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