The phrase "available for decision making" is correct and usable in written English.
It can be used when discussing resources, information, or individuals that can be utilized to make decisions.
Example: "The data collected from the survey is now available for decision making regarding the new product launch."
Alternatives: "ready for decision making" or "accessible for decision making".
And, they are interfering with the kind of informed democratic participation that holds leaders accountable for seeking and using the best knowledge available for decision making.
With the participation of national TB program managers in these meetings, these individuals became part of the conversation about what types of evidence would be available for decision making.
Furthermore, the duration of the time available for decision making made a difference on their final choice: when participants had time to weigh their decisions, they selected pleasant responses, but less so than when they had to rush to decide.
Special focus is also made on the statistical methodologies available for decision making with particular emphasis on risk management.
For example, the finding that increased information load in a group GIS MCDA does not necessarily lead to a lower level of proximity indicates that the amount of information available for decision making may not essentially be a critical factor in achieving consensus.
The version of PREDICT that includes KI67 is quick to use, free and available for decision making at the clinician desk-top.
Some available tools for decision making use reinforcement learning, which can be used in unknown environments, or case-based reasoning based on history, etc. Parameter tuning is needed to set the parameters optimally.
We think this is reasonable as it captures the most recent available information for decision making.
Study publication bias has been recognised as a potential threat to the validity of meta-analysis and can make the readily available evidence unreliable for decision making.
Study publication bias will lead to overestimation of treatment effects; it has been recognised as a threat to the validity of meta-analysis and can make the readily available evidence unreliable for decision making.
Due to the amount of content produced online, there is rich information available that can be processed for decision making.
