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There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]
Calibration training improves subjective probabilities because most people are either "overconfident" or "under-confident" (usually the former). [3] By practicing with a series of trivia questions, it is possible for subjects to fine-tune their ability to assess probabilities. For example, a subject may be asked:
The Healthcare Effectiveness Data and Information Set (HEDIS) is a widely used set of performance measures in the managed care industry, developed and maintained by the National Committee for Quality Assurance (NCQA). HEDIS was designed to allow consumers to compare health plan performance to other plans and to national or regional benchmarks.
With the growth of the American healthcare system after the early 19th century, patient-centered outcomes began to become more of a focus within the healthcare community. In 1978, The Declaration of Alma-Alta was created as the first international declaration of primary healthcare's role in promoting the health of all people. [ 7 ]
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
Medical statistics has been a recognized branch of statistics in the United Kingdom for more than 40 years, but the term has not come into general use in North America, where the wider term 'biostatistics' is more commonly used. [2] However, "biostatistics" more commonly connotes all applications of statistics to biology. [2]
Health care quality is the degree to which health care services for individuals and populations increase the likelihood of desired health outcomes. [2] Quality of care plays an important role in describing the iron triangle of health care relationships between quality, cost, and accessibility of health care within a community. [3]
In medicine and medical statistics, the gold standard, criterion standard, [1] or reference standard [2] is the diagnostic test or benchmark that is the best available under reasonable conditions. [3] It is the test against which new tests are compared to gauge their validity, and it is used to evaluate the efficacy of treatments. [1]