The phrase "analyses for information" is correct and usable in written English.
It can be used when discussing the process of examining data or content to extract useful information or insights.
Example: "The researchers conducted analyses for information that could help improve the product's design."
Alternatives: "examinations for insights" or "evaluations for data".
The results were analyzed and for each hit sequence above 90%, similarity, entries were analysed for information about collection sites (marine plankton, marine benthos, freshwater, soil).
It also sought to explore their awareness of routinely collected data in their settings and how these can be analysed for information that can guide service delivery.
All consultations were videotaped and analysed for information about spontaneously mentioned symptoms and reasons for the clinic consultation ("open agendas") and for cues to hidden patient agendas using the Roter interaction analysis system (RIAS).
We also thank Xiongfei Zhang, Keran Bi, Xiaojun Yang and Xiuling Lü for kind assistance in the laboratory and helpful suggestions on data analyses; Liang Fei and Jianping Jiang for information about specimens of P. nigromaculata collected from Baoshan, and for identification of some P. nigromaculata individuals.
Cost utility analyses for the information kiosk deployment strategy are presented in Table 6.
Similar analyses for "Personal information overheard by others", "Seen by irrelevant persons", "Unintentionally heard inappropriate conversations from healthcare providers", and "Providers' respect for my privacy" demonstrated important improvements for the post-intervention group (Table 6).
We consider the following essential metrics to be of interest for most analyses of information system co-development.
Support for the creation of publicly archived data sets involved in secondary analyses would be for information that could be applied to the subject areas of interest.
InfoKeep scores were analysed for the information categories in which teams responded as either Yes or Somewhat that significant information was identified.
The regulatory filings of eight leading banking groups – Goldman Sachs, JP Morgan, Citi, Bank of America Merrill Lynch, Nomura, Barclays, Royal Bank of Scotland and HSBC – were analysed for the information provided about "code staff".
