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A recent study by economists Pravin Krishna and Guru Sethupathy is perhaps the first to investigate the impact of trade liberalization on inequality using rigorous statistical techniques.
These results are from research done by non-partisan academics -- using rigorous statistical techniques -- and are not anecdotes or rumors.
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For this, we used rigorous statistical techniques – including exploratory and confirmatory factor analysis of the MC-C as well as applying a comprehensive 5-step model – to explore both direct and mediating effects on key outcomes.
We focused on whether or not the factorial design using rigorous statistical methods was appropriate for the identification of possible interactions.
Findings from various study designs and data sources made it impractical to combine data directly using rigorous statistical testing.
The analyses presented here have been performed using rigorous statistical methods on high quality incidence data.
The analyses were performed using rigorous statistical methods on high-quality population-based incidence data.
Our data were analysed using rigorous statistical methodology, including the consideration of missing data by multiple imputation.
Using rigorous statistical testing based on kernel density estimation and resampling we identified cold and hot spots of recombination.
This is the first study to use rigorous statistical methods to demonstrate an independent association of norovirus infections with weather factors, host population and viral evolution.
We used rigorous statistical analysis using methods that allow interpretation of the clinical significance of results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com