Sentence examples for may have summary from inspiring English sources

Finally, "while your slides may have summary information, make sure you have a detailed financial model backing up your conclusions," says Dagres.

Mr. Berman, who left the board last year, said investigators may have released the summary of what the Flight 587 witnesses saw just to show publicly that the statements showed "scatter" -- an engineering term for plotted data that does not fit a pattern.

Third, we have found evidence of publication bias and explain how older reports from smaller studies favouring early RRT may have influenced our summary estimates.

However, issues raised in the site visit report may have been a summary of a larger conversation, stimulated by the facilitators having the opportunity to ask probing questions to clarify views and enrich the discussion.

However, the authors speculate that there are at least two potential reasons why physiotherapists may have underestimated the summary utility score generated by the EQ-5D-3L instrument for patients with poorer cognitive abilities.

A fellow classmate may have a longer summary on a topic you weren't able to cover.

Restricting the inclusion of studies to English articles may have little effect on summary treatment effect estimates [66], [67] and German language articles may not play a preeminent role in the dissemination of medical research [68].

Restricting the inclusion of studies to English language may have little effect on summary treatment effect estimates [88], [89] and German language articles may not play a preeminent role in the dissemination of medical research [90].

Patients in the control group received the routine care practiced at their primary care, which may have also included a summary of basic dietary principles by nurses.

The evidence summary may have encouraged urologists to more strongly consider prophylactic PFMT for their patients, rather than delay referral until PPUI presented.

Due to the missing information in several studies of prognostic factors that were not statistically significant, reporting bias by the study authors may have influenced the calculated summary risk estimates.