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Outcomes measures should be relevant to the target of the intervention (be it a single person or a target population). [2] Depending on the design of a trial, outcome measures can be either primary outcomes, in which case the trial is designed around finding an adequate study size (through proper randomization and power calculation). [1]
The measure of effects depends on the intervention being considered. Examples include the number of people cured of a disease, the mm Hg reduction in diastolic blood pressure and the number of symptom-free days experienced by a patient. The selection of the appropriate effect measure should be based on clinical judgment in the context of the ...
Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form. They include plots such as scatter plots , histograms , probability plots , spaghetti plots , residual plots, box plots , block plots and biplots .
In probability theory, an outcome is a possible result of an experiment or trial. [1] Each possible outcome of a particular experiment is unique, and different outcomes are mutually exclusive (only one outcome will occur on each trial of the experiment). All of the possible outcomes of an experiment form the elements of a sample space. [2]
The reliability (statistics) and validity (statistics) of any measure of health status must be known so that their impact on the assessment of health outcomes can be taken into account. In mental health services these values may be quite low, especially when carried out routinely by staff rather than by trained researchers, and when using short ...
Academic articles that provide critical reviews of performance measurement in specific domains are also common—e.g. Ittner's observations on non-financial reporting by commercial organisations,; [10] Boris et al.'s observations about use of performance measurement in non-profit organisations, [11] or Bühler et al.'s (2016) analysis of how external turbulence could be reflected in ...
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Core outcome sets are commonly used by clinical investigators who conduct clinical trials for the treatment of a health condition. [2] [3] [4] The patient population associated with a particular core outcome set may vary, as some apply to all patients with that health condition and others apply to a small subset of that population. [2]