Search results
Results from the WOW.Com Content Network
The AR(1) model is the discrete-time analogy of the continuous Ornstein-Uhlenbeck process. It is therefore sometimes useful to understand the properties of the AR(1) model cast in an equivalent form. In this form, the AR(1) model, with process parameter , is given by
In 2015 CMS identified 254 quality measures for which providers may choose to submit data. The measures map to U.S. National Quality Standard (NQS) health care quality domains: [4] Communication and Care Coordination; Community/Population Health; Effective Clinical Care; Efficiency and Cost Reduction; Patient Safety
The notation AR(p) refers to the autoregressive model of order p.The AR(p) model is written as = = + where , …, are parameters and the random variable is white noise, usually independent and identically distributed (i.i.d.) normal random variables.
Partial autocorrelation is a commonly used tool for identifying the order of an autoregressive model. [6] As previously mentioned, the partial autocorrelation of an AR(p) process is zero at lags greater than p. [5] [8] If an AR model is determined to be appropriate, then the sample partial autocorrelation plot is examined to help identify the ...
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.
In time series analysis used in statistics and econometrics, autoregressive integrated moving average (ARIMA) and seasonal ARIMA (SARIMA) models are generalizations of the autoregressive moving average (ARMA) model to non-stationary series and periodic variation, respectively.
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
The Donabedian model is a common framework for assessing health care quality and identifies three domains in which health care quality can be assessed: structure, process, and outcomes. [14] All three domains are tightly linked and build on each other. Improvements in structure and process are often observed in outcomes.