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Minimal important difference (MID) provides a guide for interpreting the minimum change in a score.
The minimally important difference (MID) provides a measure of the smallest change in the PRO that patients perceive as important.
Recognition of this potentially serious limitation has led to increasing interest in the interpretation of treatment effects on PROs. 3 4 The minimally important difference (MID) provides a measure of the smallest change in the PRO of interest that patients perceive as important, either beneficial or harmful, and that would lead the patient or clinician to consider a change in management.
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As isotope-labeled substrates are metabolized and incorporated into downstream metabolites in an organism, the information contained in mass isotopomer distributions (MIDs) provides a readout on the relative fluxes in a metabolic network (Wiechert, 2001).
Our work will summarise anchor-based methods available to establish MIDs, provide an instrument to assess the credibility of available MIDs, determine the reliability of that instrument, and provide a comprehensive compendium of published anchor-based MIDs associated with PRO instruments which will help improve the interpretability of outcome effects in systematic reviews and practice guidelines.
For more established organizations, like the American Conservatory Theater, Mid Market provides an opportunity to test less traditional programming.
This angular restriction of the solar irradiation in the sky relative to the broad angular range of high atmospheric transparency in the mid-IR provides an opportunity to selectively emit to the part of sky away from the sun and achieve passive cooling.
The excavation of 41 pit structures or housepits at 21 sites in the Wyoming and Big Horn basins of Wyoming dating to the mid-Holocene provides an excellent opportunity to study hunter gatherer mobility and houses in a marginal, low carrying capacity environment.
Quantitative imaging of mid-infrared radiation provides a unique capability to investigate temporally and spatially resolved radiation from gas species and particulates in turbulent flames.
The conclusion of the research is that the mid-surface representation provides a better basis for feature recognition for moulded parts than a B-REP solid model.
Under the same assumptions, mid-year population provides a good estimate of population time at risk.
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