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Differences in the strength and direction of climate change signals are compared across models and between bias correction methods, the statistical significance of climate change is tested as it evolves over the 21st century, and the impact of choice of reference and change period lengths is analysed as it relates to assumptions of stationary in current climate and change signals.
The statistical significance of change is tested by means of the standard errors that characterize the measures.
Thus relative change is tested adaptively only for those signs and symptoms which are statistically pronounced and are of interest for the clinician to follow.
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"Climate change is testing these systems every day," said David Foster of the BlueGreen Alliance, a coalition of environmental, labor, and industry groups, in a statement.
Lastly, sensitivity to change was tested.
Thus relative change was tested adaptively only for those signs and symptoms which were pronounced.
Relationships between fasting morning plasma cortisol levels and cognitive ability and estimated cognitive change were tested.
Twenty-two areportedreported more than one change being tested within a single cycle.
Comparisons with greater than a 2-fold change were tested by Fisher's PLSD test following an ANOVA.
Associations between the GPSs and respective traits (baseline and change) were tested with linear regression in the same way individual SNPs were tested, adjusting for the same covariates.
The within-arm mean baseline-to-Y4 change was tested for equality to zero using t tests for the outcome measures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com