The phrase "a more robust methodology" is correct and usable in written English.
It can be used when discussing research methods, processes, or approaches that are stronger or more effective than previous ones.
Example: "In our study, we adopted a more robust methodology to ensure the accuracy of our results."
Alternatives: "a stronger approach" or "a more effective method."
We believe this is a more robust methodology.
CNN, together with the market research company ORC, conducted a poll with a more robust methodology, although they only managed to speak to 537 registered voters in total (only 27% of whom identified as Republican).
The organization also urged the government to start new stress tests of the banking sector based on a more robust methodology, and to publish the results before recapitalizing distressed but viable banks, preferably through share issues.
Guidelines for developing a more robust methodology are proposed.
A more robust methodology is required to ensure effective development and testing of DSS.
This provides a more robust methodology given the fact that the changes from one time period to another in most network KPIs are predictable and slow.
A trend was noticed towards more robust methodology when authors used larger data sets.
Further studies need to confirm these observations and systematically examine the relationship between SMDs and these risk factors with a larger sample size and more robust methodology.
Development of more robust methodology would be helpful in allowing assessment of effects in future studies (Yaffe, 2008).
In 2007, an inter-governmental quality audit in 12 metropolitan and regional Western Australian public hospitals involving 966 patients (25% Indigenous) reported 98% of Indigenous persons and 99% of non-Indigenous persons were correctly identified in medical records [ 8], although this study lacked the more robust methodology of the Young study [ 10].
To be useful in clinical practice, there is a need to develop more robust methodologies and to ensure that research processes are well described and sufficiently transparent to allow data aggregation to occur with confidence.
