The phrase "a robust test for" is correct and usable in written English.
It can be used when discussing the effectiveness or reliability of a test in evaluating a particular hypothesis, theory, or condition.
Example: "The researchers developed a robust test for measuring the impact of the new drug on patient recovery times."
Alternatives: "a reliable assessment for" or "a strong evaluation for".
In this paper, we shall construct a robust test for the mean change in a sequence.
The second GSEA variant applied a robust test for homogeneity of variance [51], the Levene test as modified by Brown and Forsythe (LBF) [52].
3. I worried a little about the uniqueness of the Gamma-distribution in generating the scaling behavior given the absence of a robust test for the scaling exponent.
The McDonald-Kreitman test (MKT), a robust test for positive selection using substitution and polymorphism data, could be applied to 715 alignments showing non-zero values in all four categories of nucleotide changes.
Later modifications of these models [ 34, 35] suggest that a likelihood ratio test, comparing the modified model A (still called branch-site model A) with the same model but with an ω ratio fixed to 1, appears to be a robust test for identification of positive selection sites.
We agree that this experimental design does not allow for a robust test of the hypothesis that functional types may differ in their response to moisture gradients.
The cell size distribution across the haploid deletion pool represents a robust test case for barcode array analysis, as the results are largely invariant, even when one compares different elutriations performed on different days, and different elutriation fractions within the same experiment.
We note, however, that the present study was not designed to test for an association between metabolic rate and sperm quality, and future work measuring sperm quality directly would provide a more robust test for such an association.
A more robust test for horizontal transfer makes use of sequence data from both areas of interest.
For a robust test, the control condition was designed to be as close to the experimental condition as possible; that is, instead of exclusively positive CBM stimuli, stimuli of mixed valence (half positive and half negative) were used (cf. Amir, Beard, Burns, & Bomyea, 2009).
Such microarray phantoms provide a robust testing platform for comparisons of hyperspectral imaging acquisition and analysis methods.
